Add files using upload-large-folder tool
Browse files- config.json +38 -0
- generation_config.json +7 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +298 -0
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- rng_state_2.pth +3 -0
- rng_state_3.pth +3 -0
- rng_state_4.pth +3 -0
- rng_state_5.pth +3 -0
- rng_state_6.pth +3 -0
- rng_state_7.pth +3 -0
- trainer_state.json +825 -0
- training_args.bin +3 -0
config.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "BAAI/Emu3-Stage1",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"Emu3ForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.1,
|
| 7 |
+
"auto_map": {
|
| 8 |
+
"AutoConfig": "BAAI/Emu3-Stage1--configuration_emu3.Emu3Config",
|
| 9 |
+
"AutoModelForCausalLM": "BAAI/Emu3-Stage1--modeling_emu3.Emu3ForCausalLM"
|
| 10 |
+
},
|
| 11 |
+
"boi_token_id": 151852,
|
| 12 |
+
"bos_token_id": 151849,
|
| 13 |
+
"eof_token_id": 151847,
|
| 14 |
+
"eoi_token_id": 151853,
|
| 15 |
+
"eol_token_id": 151846,
|
| 16 |
+
"eos_token_id": 151850,
|
| 17 |
+
"hidden_act": "silu",
|
| 18 |
+
"hidden_size": 4096,
|
| 19 |
+
"image_area": 65536,
|
| 20 |
+
"img_token_id": 151851,
|
| 21 |
+
"initializer_range": 0.02,
|
| 22 |
+
"intermediate_size": 14336,
|
| 23 |
+
"max_position_embeddings": 4300,
|
| 24 |
+
"model_type": "Emu3",
|
| 25 |
+
"num_attention_heads": 32,
|
| 26 |
+
"num_hidden_layers": 32,
|
| 27 |
+
"num_key_value_heads": 8,
|
| 28 |
+
"pad_token_id": 151643,
|
| 29 |
+
"pretraining_tp": 1,
|
| 30 |
+
"rms_norm_eps": 1e-05,
|
| 31 |
+
"rope_scaling": null,
|
| 32 |
+
"rope_theta": 1000000.0,
|
| 33 |
+
"tie_word_embeddings": false,
|
| 34 |
+
"torch_dtype": "bfloat16",
|
| 35 |
+
"transformers_version": "4.44.0",
|
| 36 |
+
"use_cache": false,
|
| 37 |
+
"vocab_size": 184622
|
| 38 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 151849,
|
| 4 |
+
"eos_token_id": 151850,
|
| 5 |
+
"pad_token_id": 151643,
|
| 6 |
+
"transformers_version": "4.44.0"
|
| 7 |
+
}
|
model-00001-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:01e95d26d283ed2944785c222781dabd7ab566e5a58b028525ccaa49b4f624f0
|
| 3 |
+
size 4884766656
|
model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9f81859a2a9e9457154591a41cc7599b2e24cbaef197fca0f3593398a257e067
|
| 3 |
+
size 4999819320
|
model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:107063780a88ed0ab2358328ad761343c66d0c22ebf45cbcb0fc2e9b8c6e1b50
|
| 3 |
+
size 4915916184
|
model-00004-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fc986140c5ce9981c7c1a809ecab04ae9971ae4cd6152903fe37e8f67f5cfe91
|
| 3 |
+
size 2183554760
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 16984023040
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00004-of-00004.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 26 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 35 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 44 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 53 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 62 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 71 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 80 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 89 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 98 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 107 |
+
"model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 125 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 134 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 143 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 152 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 161 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 170 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 179 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 188 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 197 |
+
"model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 206 |
+
"model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 224 |
+
"model.layers.30.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 233 |
+
"model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
| 239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
| 240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
| 241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
| 242 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 251 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 260 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 269 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 278 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 287 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 296 |
+
"model.norm.weight": "model-00004-of-00004.safetensors"
|
| 297 |
+
}
|
| 298 |
+
}
|
rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e7f8fdaa2901715f8e4a8f38168a545de96a7563f746c7efffc766e2f95a2500
|
| 3 |
+
size 15984
|
rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:abf8486a2f27dd7f96be382873569c76d45be1b62b28735205f40c1ce4e97c1f
|
| 3 |
+
size 15984
|
rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e849f96145985997a044788ef82a75dc06e7866029f8ce0f976586982f211734
|
| 3 |
+
size 15984
|
rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7cb38df02cfc8c5cd4aa43d1ef47a3af02b4429611d5a27a456abb5995334157
|
| 3 |
+
size 15984
|
rng_state_4.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6a02413ca60bce11e32628637e864769d991ae3e564680ae6bb0183c6bd18a3c
|
| 3 |
+
size 15984
|
rng_state_5.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff7d9fda9c0ad4dac9c34b0d4506945dca6cd64d6da90c540059f98f8cbf5501
|
| 3 |
+
size 15984
|
rng_state_6.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5dde8b70401b290c936d4f63e2b2bb30f06808b582c731397e4bf294f300a29b
|
| 3 |
+
size 15984
|
rng_state_7.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be093cf1b5785f52351036898bda0182f63cecc922973c48648cc58550dc479d
|
| 3 |
+
size 15984
|
trainer_state.json
ADDED
|
@@ -0,0 +1,825 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 9.28134063809217,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
+
"global_step": 3600,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.12890750886239125,
|
| 13 |
+
"grad_norm": 0.9527155866900715,
|
| 14 |
+
"learning_rate": 0.001,
|
| 15 |
+
"loss": 4.2951,
|
| 16 |
+
"step": 50
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.2578150177247825,
|
| 20 |
+
"grad_norm": 0.8613266657338488,
|
| 21 |
+
"learning_rate": 0.0009995777619868967,
|
| 22 |
+
"loss": 4.1174,
|
| 23 |
+
"step": 100
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.2578150177247825,
|
| 27 |
+
"eval_loss": 4.061758041381836,
|
| 28 |
+
"eval_runtime": 13.6791,
|
| 29 |
+
"eval_samples_per_second": 73.104,
|
| 30 |
+
"eval_steps_per_second": 2.339,
|
| 31 |
+
"step": 100
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.3867225265871737,
|
| 35 |
+
"grad_norm": 0.588963638591784,
|
| 36 |
+
"learning_rate": 0.000998311761801199,
|
| 37 |
+
"loss": 4.035,
|
| 38 |
+
"step": 150
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.515630035449565,
|
| 42 |
+
"grad_norm": 0.3000507476828121,
|
| 43 |
+
"learning_rate": 0.000996204139796873,
|
| 44 |
+
"loss": 3.9794,
|
| 45 |
+
"step": 200
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.515630035449565,
|
| 49 |
+
"eval_loss": 3.951843500137329,
|
| 50 |
+
"eval_runtime": 13.2341,
|
| 51 |
+
"eval_samples_per_second": 75.563,
|
| 52 |
+
"eval_steps_per_second": 2.418,
|
| 53 |
+
"step": 200
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 0.6445375443119562,
|
| 57 |
+
"grad_norm": 1.0882364902367292,
|
| 58 |
+
"learning_rate": 0.0009932584592096643,
|
| 59 |
+
"loss": 3.9453,
|
| 60 |
+
"step": 250
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 0.7734450531743474,
|
| 64 |
+
"grad_norm": 0.6363211565344357,
|
| 65 |
+
"learning_rate": 0.0009894797001329398,
|
| 66 |
+
"loss": 3.917,
|
| 67 |
+
"step": 300
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 0.7734450531743474,
|
| 71 |
+
"eval_loss": 3.8788869380950928,
|
| 72 |
+
"eval_runtime": 13.3005,
|
| 73 |
+
"eval_samples_per_second": 75.185,
|
| 74 |
+
"eval_steps_per_second": 2.406,
|
| 75 |
+
"step": 300
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.9023525620367386,
|
| 79 |
+
"grad_norm": 0.9910006063725697,
|
| 80 |
+
"learning_rate": 0.0009848742510981292,
|
| 81 |
+
"loss": 3.805,
|
| 82 |
+
"step": 350
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"epoch": 1.03126007089913,
|
| 86 |
+
"grad_norm": 5.070998393490313,
|
| 87 |
+
"learning_rate": 0.0009794498982740008,
|
| 88 |
+
"loss": 3.7973,
|
| 89 |
+
"step": 400
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 1.03126007089913,
|
| 93 |
+
"eval_loss": 3.929041862487793,
|
| 94 |
+
"eval_runtime": 13.2112,
|
| 95 |
+
"eval_samples_per_second": 75.693,
|
| 96 |
+
"eval_steps_per_second": 2.422,
|
| 97 |
+
"step": 400
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"epoch": 1.1601675797615212,
|
| 101 |
+
"grad_norm": 1.5111119419703132,
|
| 102 |
+
"learning_rate": 0.0009732158123030324,
|
| 103 |
+
"loss": 3.98,
|
| 104 |
+
"step": 450
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 1.2890750886239124,
|
| 108 |
+
"grad_norm": 2.9266272457246685,
|
| 109 |
+
"learning_rate": 0.0009661825327971316,
|
| 110 |
+
"loss": 3.9676,
|
| 111 |
+
"step": 500
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 1.2890750886239124,
|
| 115 |
+
"eval_loss": 3.992887258529663,
|
| 116 |
+
"eval_runtime": 13.2769,
|
| 117 |
+
"eval_samples_per_second": 75.319,
|
| 118 |
+
"eval_steps_per_second": 2.41,
|
| 119 |
+
"step": 500
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 1.4179825974863036,
|
| 123 |
+
"grad_norm": 1.9372695993602536,
|
| 124 |
+
"learning_rate": 0.0009583619505189177,
|
| 125 |
+
"loss": 4.0102,
|
| 126 |
+
"step": 550
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"epoch": 1.5468901063486948,
|
| 130 |
+
"grad_norm": 1.1325425311995052,
|
| 131 |
+
"learning_rate": 0.0009497672872786908,
|
| 132 |
+
"loss": 4.0347,
|
| 133 |
+
"step": 600
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"epoch": 1.5468901063486948,
|
| 137 |
+
"eval_loss": 4.0086283683776855,
|
| 138 |
+
"eval_runtime": 13.2747,
|
| 139 |
+
"eval_samples_per_second": 75.331,
|
| 140 |
+
"eval_steps_per_second": 2.411,
|
| 141 |
+
"step": 600
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 1.675797615211086,
|
| 145 |
+
"grad_norm": 1.0653229015184138,
|
| 146 |
+
"learning_rate": 0.0009404130735810749,
|
| 147 |
+
"loss": 4.015,
|
| 148 |
+
"step": 650
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"epoch": 1.8047051240734773,
|
| 152 |
+
"grad_norm": 0.9867803701996282,
|
| 153 |
+
"learning_rate": 0.0009303151240591263,
|
| 154 |
+
"loss": 4.0545,
|
| 155 |
+
"step": 700
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 1.8047051240734773,
|
| 159 |
+
"eval_loss": 4.0230817794799805,
|
| 160 |
+
"eval_runtime": 13.2485,
|
| 161 |
+
"eval_samples_per_second": 75.48,
|
| 162 |
+
"eval_steps_per_second": 2.415,
|
| 163 |
+
"step": 700
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 1.9336126329358685,
|
| 167 |
+
"grad_norm": 1.3505264820000504,
|
| 168 |
+
"learning_rate": 0.0009194905107374401,
|
| 169 |
+
"loss": 4.0391,
|
| 170 |
+
"step": 750
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 2.06252014179826,
|
| 174 |
+
"grad_norm": 1.4563064030505048,
|
| 175 |
+
"learning_rate": 0.0009079575341694557,
|
| 176 |
+
"loss": 4.0552,
|
| 177 |
+
"step": 800
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 2.06252014179826,
|
| 181 |
+
"eval_loss": 4.040332317352295,
|
| 182 |
+
"eval_runtime": 13.2387,
|
| 183 |
+
"eval_samples_per_second": 75.536,
|
| 184 |
+
"eval_steps_per_second": 2.417,
|
| 185 |
+
"step": 800
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 2.191427650660651,
|
| 189 |
+
"grad_norm": 1.2688404260592696,
|
| 190 |
+
"learning_rate": 0.0008957356924977609,
|
| 191 |
+
"loss": 4.0285,
|
| 192 |
+
"step": 850
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 2.3203351595230424,
|
| 196 |
+
"grad_norm": 1.922527341942018,
|
| 197 |
+
"learning_rate": 0.0008828456484896984,
|
| 198 |
+
"loss": 4.0291,
|
| 199 |
+
"step": 900
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 2.3203351595230424,
|
| 203 |
+
"eval_loss": 4.0184197425842285,
|
| 204 |
+
"eval_runtime": 13.2837,
|
| 205 |
+
"eval_samples_per_second": 75.28,
|
| 206 |
+
"eval_steps_per_second": 2.409,
|
| 207 |
+
"step": 900
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 2.4492426683854336,
|
| 211 |
+
"grad_norm": 1.1751317607621916,
|
| 212 |
+
"learning_rate": 0.0008693091946040104,
|
| 213 |
+
"loss": 4.0198,
|
| 214 |
+
"step": 950
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 2.578150177247825,
|
| 218 |
+
"grad_norm": 1.4781189301871374,
|
| 219 |
+
"learning_rate": 0.000855149216147576,
|
| 220 |
+
"loss": 4.0389,
|
| 221 |
+
"step": 1000
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 2.578150177247825,
|
| 225 |
+
"eval_loss": 4.022523403167725,
|
| 226 |
+
"eval_runtime": 13.2647,
|
| 227 |
+
"eval_samples_per_second": 75.388,
|
| 228 |
+
"eval_steps_per_second": 2.412,
|
| 229 |
+
"step": 1000
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"epoch": 2.707057686110216,
|
| 233 |
+
"grad_norm": 2.8481102078113363,
|
| 234 |
+
"learning_rate": 0.000840389652584536,
|
| 235 |
+
"loss": 4.0337,
|
| 236 |
+
"step": 1050
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 2.8359651949726072,
|
| 240 |
+
"grad_norm": 1.2842129496698058,
|
| 241 |
+
"learning_rate": 0.0008250554570632107,
|
| 242 |
+
"loss": 4.0293,
|
| 243 |
+
"step": 1100
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 2.8359651949726072,
|
| 247 |
+
"eval_loss": 4.018503189086914,
|
| 248 |
+
"eval_runtime": 13.2539,
|
| 249 |
+
"eval_samples_per_second": 75.45,
|
| 250 |
+
"eval_steps_per_second": 2.414,
|
| 251 |
+
"step": 1100
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 2.9648727038349985,
|
| 255 |
+
"grad_norm": 3.7613179214902197,
|
| 256 |
+
"learning_rate": 0.0008091725542292438,
|
| 257 |
+
"loss": 4.0283,
|
| 258 |
+
"step": 1150
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 3.0937802126973897,
|
| 262 |
+
"grad_norm": 2.6521101503823346,
|
| 263 |
+
"learning_rate": 0.000792767796396289,
|
| 264 |
+
"loss": 4.0347,
|
| 265 |
+
"step": 1200
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 3.0937802126973897,
|
| 269 |
+
"eval_loss": 4.021185398101807,
|
| 270 |
+
"eval_runtime": 13.2939,
|
| 271 |
+
"eval_samples_per_second": 75.222,
|
| 272 |
+
"eval_steps_per_second": 2.407,
|
| 273 |
+
"step": 1200
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 3.222687721559781,
|
| 277 |
+
"grad_norm": 1.7003701014793156,
|
| 278 |
+
"learning_rate": 0.0007758689181483412,
|
| 279 |
+
"loss": 4.0275,
|
| 280 |
+
"step": 1250
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"epoch": 3.351595230422172,
|
| 284 |
+
"grad_norm": 1.3295380943734334,
|
| 285 |
+
"learning_rate": 0.000758504489450466,
|
| 286 |
+
"loss": 4.0208,
|
| 287 |
+
"step": 1300
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 3.351595230422172,
|
| 291 |
+
"eval_loss": 4.011188507080078,
|
| 292 |
+
"eval_runtime": 13.2452,
|
| 293 |
+
"eval_samples_per_second": 75.499,
|
| 294 |
+
"eval_steps_per_second": 2.416,
|
| 295 |
+
"step": 1300
|
| 296 |
+
},
|
| 297 |
+
{
|
| 298 |
+
"epoch": 3.4805027392845633,
|
| 299 |
+
"grad_norm": 1.3487659259714693,
|
| 300 |
+
"learning_rate": 0.0007407038673471959,
|
| 301 |
+
"loss": 4.0191,
|
| 302 |
+
"step": 1350
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 3.6094102481469545,
|
| 306 |
+
"grad_norm": 0.9861657777387535,
|
| 307 |
+
"learning_rate": 0.0007224971463302587,
|
| 308 |
+
"loss": 4.0204,
|
| 309 |
+
"step": 1400
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 3.6094102481469545,
|
| 313 |
+
"eval_loss": 4.0111846923828125,
|
| 314 |
+
"eval_runtime": 13.2369,
|
| 315 |
+
"eval_samples_per_second": 75.546,
|
| 316 |
+
"eval_steps_per_second": 2.417,
|
| 317 |
+
"step": 1400
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 3.7383177570093458,
|
| 321 |
+
"grad_norm": 1.0800491613545316,
|
| 322 |
+
"learning_rate": 0.0007039151074595432,
|
| 323 |
+
"loss": 4.024,
|
| 324 |
+
"step": 1450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 3.867225265871737,
|
| 328 |
+
"grad_norm": 0.9644339387320809,
|
| 329 |
+
"learning_rate": 0.0006849891663233264,
|
| 330 |
+
"loss": 4.023,
|
| 331 |
+
"step": 1500
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 3.867225265871737,
|
| 335 |
+
"eval_loss": 4.018366813659668,
|
| 336 |
+
"eval_runtime": 13.2404,
|
| 337 |
+
"eval_samples_per_second": 75.526,
|
| 338 |
+
"eval_steps_per_second": 2.417,
|
| 339 |
+
"step": 1500
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 3.996132774734128,
|
| 343 |
+
"grad_norm": 0.8344627432775175,
|
| 344 |
+
"learning_rate": 0.0006657513199257385,
|
| 345 |
+
"loss": 4.0233,
|
| 346 |
+
"step": 1550
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 4.12504028359652,
|
| 350 |
+
"grad_norm": 1.4143353248285266,
|
| 351 |
+
"learning_rate": 0.0006462340925912611,
|
| 352 |
+
"loss": 4.0253,
|
| 353 |
+
"step": 1600
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 4.12504028359652,
|
| 357 |
+
"eval_loss": 4.0222063064575195,
|
| 358 |
+
"eval_runtime": 13.2332,
|
| 359 |
+
"eval_samples_per_second": 75.567,
|
| 360 |
+
"eval_steps_per_second": 2.418,
|
| 361 |
+
"step": 1600
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 4.253947792458911,
|
| 365 |
+
"grad_norm": 0.970349395404879,
|
| 366 |
+
"learning_rate": 0.0006264704809777159,
|
| 367 |
+
"loss": 4.02,
|
| 368 |
+
"step": 1650
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 4.382855301321302,
|
| 372 |
+
"grad_norm": 0.7142593470613441,
|
| 373 |
+
"learning_rate": 0.0006064938982907064,
|
| 374 |
+
"loss": 4.0186,
|
| 375 |
+
"step": 1700
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 4.382855301321302,
|
| 379 |
+
"eval_loss": 4.019730567932129,
|
| 380 |
+
"eval_runtime": 13.2783,
|
| 381 |
+
"eval_samples_per_second": 75.311,
|
| 382 |
+
"eval_steps_per_second": 2.41,
|
| 383 |
+
"step": 1700
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 4.5117628101836935,
|
| 387 |
+
"grad_norm": 1.088690826939789,
|
| 388 |
+
"learning_rate": 0.0005863381177938257,
|
| 389 |
+
"loss": 4.0203,
|
| 390 |
+
"step": 1750
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 4.640670319046085,
|
| 394 |
+
"grad_norm": 0.81043587990677,
|
| 395 |
+
"learning_rate": 0.0005660372157101351,
|
| 396 |
+
"loss": 4.0124,
|
| 397 |
+
"step": 1800
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 4.640670319046085,
|
| 401 |
+
"eval_loss": 4.00410795211792,
|
| 402 |
+
"eval_runtime": 13.2665,
|
| 403 |
+
"eval_samples_per_second": 75.378,
|
| 404 |
+
"eval_steps_per_second": 2.412,
|
| 405 |
+
"step": 1800
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 4.769577827908476,
|
| 409 |
+
"grad_norm": 1.218343880260603,
|
| 410 |
+
"learning_rate": 0.0005456255136114464,
|
| 411 |
+
"loss": 4.0095,
|
| 412 |
+
"step": 1850
|
| 413 |
+
},
|
| 414 |
+
{
|
| 415 |
+
"epoch": 4.898485336770867,
|
| 416 |
+
"grad_norm": 1.2906531132627939,
|
| 417 |
+
"learning_rate": 0.0005251375203928073,
|
| 418 |
+
"loss": 4.013,
|
| 419 |
+
"step": 1900
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 4.898485336770867,
|
| 423 |
+
"eval_loss": 4.00699520111084,
|
| 424 |
+
"eval_runtime": 13.2744,
|
| 425 |
+
"eval_samples_per_second": 75.333,
|
| 426 |
+
"eval_steps_per_second": 2.411,
|
| 427 |
+
"step": 1900
|
| 428 |
+
},
|
| 429 |
+
{
|
| 430 |
+
"epoch": 5.027392845633258,
|
| 431 |
+
"grad_norm": 1.0003413201127862,
|
| 432 |
+
"learning_rate": 0.0005046078739302906,
|
| 433 |
+
"loss": 4.0152,
|
| 434 |
+
"step": 1950
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 5.15630035449565,
|
| 438 |
+
"grad_norm": 0.7713832151052984,
|
| 439 |
+
"learning_rate": 0.00048407128252072126,
|
| 440 |
+
"loss": 4.0107,
|
| 441 |
+
"step": 2000
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 5.15630035449565,
|
| 445 |
+
"eval_loss": 4.002959728240967,
|
| 446 |
+
"eval_runtime": 13.3166,
|
| 447 |
+
"eval_samples_per_second": 75.094,
|
| 448 |
+
"eval_steps_per_second": 2.403,
|
| 449 |
+
"step": 2000
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 5.285207863358041,
|
| 453 |
+
"grad_norm": 0.6926092337577483,
|
| 454 |
+
"learning_rate": 0.0004635624662023483,
|
| 455 |
+
"loss": 4.0076,
|
| 456 |
+
"step": 2050
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 5.414115372220432,
|
| 460 |
+
"grad_norm": 0.9646552016098948,
|
| 461 |
+
"learning_rate": 0.00044311609805566555,
|
| 462 |
+
"loss": 4.0071,
|
| 463 |
+
"step": 2100
|
| 464 |
+
},
|
| 465 |
+
{
|
| 466 |
+
"epoch": 5.414115372220432,
|
| 467 |
+
"eval_loss": 3.9943130016326904,
|
| 468 |
+
"eval_runtime": 13.2641,
|
| 469 |
+
"eval_samples_per_second": 75.392,
|
| 470 |
+
"eval_steps_per_second": 2.413,
|
| 471 |
+
"step": 2100
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 5.543022881082823,
|
| 475 |
+
"grad_norm": 0.8166002448538517,
|
| 476 |
+
"learning_rate": 0.00042276674558362195,
|
| 477 |
+
"loss": 4.0057,
|
| 478 |
+
"step": 2150
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 5.6719303899452145,
|
| 482 |
+
"grad_norm": 0.49959029988570036,
|
| 483 |
+
"learning_rate": 0.0004025488122703244,
|
| 484 |
+
"loss": 4.0044,
|
| 485 |
+
"step": 2200
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 5.6719303899452145,
|
| 489 |
+
"eval_loss": 3.9941368103027344,
|
| 490 |
+
"eval_runtime": 13.2299,
|
| 491 |
+
"eval_samples_per_second": 75.586,
|
| 492 |
+
"eval_steps_per_second": 2.419,
|
| 493 |
+
"step": 2200
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 5.800837898807606,
|
| 497 |
+
"grad_norm": 0.604816142158251,
|
| 498 |
+
"learning_rate": 0.00038249647941703896,
|
| 499 |
+
"loss": 4.0004,
|
| 500 |
+
"step": 2250
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 5.929745407669997,
|
| 504 |
+
"grad_norm": 1.051098262809377,
|
| 505 |
+
"learning_rate": 0.00036264364835382446,
|
| 506 |
+
"loss": 4.0034,
|
| 507 |
+
"step": 2300
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 5.929745407669997,
|
| 511 |
+
"eval_loss": 3.991546392440796,
|
| 512 |
+
"eval_runtime": 13.2828,
|
| 513 |
+
"eval_samples_per_second": 75.286,
|
| 514 |
+
"eval_steps_per_second": 2.409,
|
| 515 |
+
"step": 2300
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 6.058652916532388,
|
| 519 |
+
"grad_norm": 1.2325517427842247,
|
| 520 |
+
"learning_rate": 0.00034302388312449484,
|
| 521 |
+
"loss": 4.0017,
|
| 522 |
+
"step": 2350
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 6.187560425394779,
|
| 526 |
+
"grad_norm": 0.5210785551693312,
|
| 527 |
+
"learning_rate": 0.0003236703537418149,
|
| 528 |
+
"loss": 4.0,
|
| 529 |
+
"step": 2400
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 6.187560425394779,
|
| 533 |
+
"eval_loss": 3.9918057918548584,
|
| 534 |
+
"eval_runtime": 13.2383,
|
| 535 |
+
"eval_samples_per_second": 75.538,
|
| 536 |
+
"eval_steps_per_second": 2.417,
|
| 537 |
+
"step": 2400
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 6.316467934257171,
|
| 541 |
+
"grad_norm": 0.8240857136804,
|
| 542 |
+
"learning_rate": 0.0003046157801088601,
|
| 543 |
+
"loss": 3.9959,
|
| 544 |
+
"step": 2450
|
| 545 |
+
},
|
| 546 |
+
{
|
| 547 |
+
"epoch": 6.445375443119562,
|
| 548 |
+
"grad_norm": 0.8419495345371018,
|
| 549 |
+
"learning_rate": 0.00028589237670135104,
|
| 550 |
+
"loss": 3.9975,
|
| 551 |
+
"step": 2500
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 6.445375443119562,
|
| 555 |
+
"eval_loss": 3.9909591674804688,
|
| 556 |
+
"eval_runtime": 13.1974,
|
| 557 |
+
"eval_samples_per_second": 75.772,
|
| 558 |
+
"eval_steps_per_second": 2.425,
|
| 559 |
+
"step": 2500
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 6.574282951981953,
|
| 563 |
+
"grad_norm": 2.509427017361252,
|
| 564 |
+
"learning_rate": 0.00026753179810448663,
|
| 565 |
+
"loss": 3.9967,
|
| 566 |
+
"step": 2550
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 6.703190460844344,
|
| 570 |
+
"grad_norm": 8.950423322917407,
|
| 571 |
+
"learning_rate": 0.00024956508549634946,
|
| 572 |
+
"loss": 3.9988,
|
| 573 |
+
"step": 2600
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 6.703190460844344,
|
| 577 |
+
"eval_loss": 3.988790512084961,
|
| 578 |
+
"eval_runtime": 13.3034,
|
| 579 |
+
"eval_samples_per_second": 75.169,
|
| 580 |
+
"eval_steps_per_second": 2.405,
|
| 581 |
+
"step": 2600
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 6.832097969706735,
|
| 585 |
+
"grad_norm": 1.705160199155534,
|
| 586 |
+
"learning_rate": 0.00023202261416836547,
|
| 587 |
+
"loss": 3.9991,
|
| 588 |
+
"step": 2650
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 6.961005478569127,
|
| 592 |
+
"grad_norm": 0.932479506457096,
|
| 593 |
+
"learning_rate": 0.00021493404217153968,
|
| 594 |
+
"loss": 3.995,
|
| 595 |
+
"step": 2700
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"epoch": 6.961005478569127,
|
| 599 |
+
"eval_loss": 3.9868602752685547,
|
| 600 |
+
"eval_runtime": 13.269,
|
| 601 |
+
"eval_samples_per_second": 75.364,
|
| 602 |
+
"eval_steps_per_second": 2.412,
|
| 603 |
+
"step": 2700
|
| 604 |
+
},
|
| 605 |
+
{
|
| 606 |
+
"epoch": 7.089912987431518,
|
| 607 |
+
"grad_norm": 0.9530127193674827,
|
| 608 |
+
"learning_rate": 0.0001983282601752883,
|
| 609 |
+
"loss": 3.995,
|
| 610 |
+
"step": 2750
|
| 611 |
+
},
|
| 612 |
+
{
|
| 613 |
+
"epoch": 7.218820496293909,
|
| 614 |
+
"grad_norm": 0.7419385503887451,
|
| 615 |
+
"learning_rate": 0.00018223334262363987,
|
| 616 |
+
"loss": 3.9892,
|
| 617 |
+
"step": 2800
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 7.218820496293909,
|
| 621 |
+
"eval_loss": 3.9841201305389404,
|
| 622 |
+
"eval_runtime": 13.3292,
|
| 623 |
+
"eval_samples_per_second": 75.023,
|
| 624 |
+
"eval_steps_per_second": 2.401,
|
| 625 |
+
"step": 2800
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 7.3477280051563,
|
| 629 |
+
"grad_norm": 1.2151076203513222,
|
| 630 |
+
"learning_rate": 0.00016667650027138136,
|
| 631 |
+
"loss": 3.9926,
|
| 632 |
+
"step": 2850
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 7.4766355140186915,
|
| 636 |
+
"grad_norm": 0.8366273124185153,
|
| 637 |
+
"learning_rate": 0.00015168403418039446,
|
| 638 |
+
"loss": 3.9918,
|
| 639 |
+
"step": 2900
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 7.4766355140186915,
|
| 643 |
+
"eval_loss": 3.9802000522613525,
|
| 644 |
+
"eval_runtime": 13.3133,
|
| 645 |
+
"eval_samples_per_second": 75.113,
|
| 646 |
+
"eval_steps_per_second": 2.404,
|
| 647 |
+
"step": 2900
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 7.605543022881083,
|
| 651 |
+
"grad_norm": 0.7843548485538294,
|
| 652 |
+
"learning_rate": 0.0001372812912539579,
|
| 653 |
+
"loss": 3.9914,
|
| 654 |
+
"step": 2950
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 7.734450531743474,
|
| 658 |
+
"grad_norm": 1.8243695731678793,
|
| 659 |
+
"learning_rate": 0.0001234926213841896,
|
| 660 |
+
"loss": 3.9869,
|
| 661 |
+
"step": 3000
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 7.734450531743474,
|
| 665 |
+
"eval_loss": 3.9797914028167725,
|
| 666 |
+
"eval_runtime": 13.28,
|
| 667 |
+
"eval_samples_per_second": 75.301,
|
| 668 |
+
"eval_steps_per_second": 2.41,
|
| 669 |
+
"step": 3000
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 7.863358040605865,
|
| 673 |
+
"grad_norm": 1.0099425089232086,
|
| 674 |
+
"learning_rate": 0.00011034133628508007,
|
| 675 |
+
"loss": 3.9861,
|
| 676 |
+
"step": 3050
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 7.992265549468256,
|
| 680 |
+
"grad_norm": 0.7468508814468853,
|
| 681 |
+
"learning_rate": 9.784967008071359e-05,
|
| 682 |
+
"loss": 3.9879,
|
| 683 |
+
"step": 3100
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 7.992265549468256,
|
| 687 |
+
"eval_loss": 3.9778568744659424,
|
| 688 |
+
"eval_runtime": 13.2408,
|
| 689 |
+
"eval_samples_per_second": 75.524,
|
| 690 |
+
"eval_steps_per_second": 2.417,
|
| 691 |
+
"step": 3100
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 8.121173058330648,
|
| 695 |
+
"grad_norm": 0.946264274777096,
|
| 696 |
+
"learning_rate": 8.60387417153083e-05,
|
| 697 |
+
"loss": 3.9853,
|
| 698 |
+
"step": 3150
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 8.25008056719304,
|
| 702 |
+
"grad_norm": 0.9395931478621461,
|
| 703 |
+
"learning_rate": 7.492851924862745e-05,
|
| 704 |
+
"loss": 3.9849,
|
| 705 |
+
"step": 3200
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 8.25008056719304,
|
| 709 |
+
"eval_loss": 3.976435899734497,
|
| 710 |
+
"eval_runtime": 13.2788,
|
| 711 |
+
"eval_samples_per_second": 75.308,
|
| 712 |
+
"eval_steps_per_second": 2.41,
|
| 713 |
+
"step": 3200
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 8.37898807605543,
|
| 717 |
+
"grad_norm": 0.7564304900836561,
|
| 718 |
+
"learning_rate": 6.453778609712553e-05,
|
| 719 |
+
"loss": 3.9837,
|
| 720 |
+
"step": 3250
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 8.507895584917822,
|
| 724 |
+
"grad_norm": 2.7551475980059297,
|
| 725 |
+
"learning_rate": 5.4884109277901715e-05,
|
| 726 |
+
"loss": 3.9855,
|
| 727 |
+
"step": 3300
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"epoch": 8.507895584917822,
|
| 731 |
+
"eval_loss": 3.9746084213256836,
|
| 732 |
+
"eval_runtime": 13.2449,
|
| 733 |
+
"eval_samples_per_second": 75.501,
|
| 734 |
+
"eval_steps_per_second": 2.416,
|
| 735 |
+
"step": 3300
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 8.636803093780212,
|
| 739 |
+
"grad_norm": 0.8044306898019998,
|
| 740 |
+
"learning_rate": 4.5983809709151646e-05,
|
| 741 |
+
"loss": 3.9826,
|
| 742 |
+
"step": 3350
|
| 743 |
+
},
|
| 744 |
+
{
|
| 745 |
+
"epoch": 8.765710602642605,
|
| 746 |
+
"grad_norm": 0.9568034742858677,
|
| 747 |
+
"learning_rate": 3.7851934617325454e-05,
|
| 748 |
+
"loss": 3.9828,
|
| 749 |
+
"step": 3400
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 8.765710602642605,
|
| 753 |
+
"eval_loss": 3.973742723464966,
|
| 754 |
+
"eval_runtime": 13.2588,
|
| 755 |
+
"eval_samples_per_second": 75.422,
|
| 756 |
+
"eval_steps_per_second": 2.413,
|
| 757 |
+
"step": 3400
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"epoch": 8.894618111504995,
|
| 761 |
+
"grad_norm": 1.4505687452280627,
|
| 762 |
+
"learning_rate": 3.0502232097644462e-05,
|
| 763 |
+
"loss": 3.9813,
|
| 764 |
+
"step": 3450
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 9.023525620367387,
|
| 768 |
+
"grad_norm": 2.29574427985573,
|
| 769 |
+
"learning_rate": 2.3947127870985044e-05,
|
| 770 |
+
"loss": 3.9807,
|
| 771 |
+
"step": 3500
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 9.023525620367387,
|
| 775 |
+
"eval_loss": 3.973203659057617,
|
| 776 |
+
"eval_runtime": 13.2536,
|
| 777 |
+
"eval_samples_per_second": 75.451,
|
| 778 |
+
"eval_steps_per_second": 2.414,
|
| 779 |
+
"step": 3500
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 9.152433129229777,
|
| 783 |
+
"grad_norm": 1.8077601710285893,
|
| 784 |
+
"learning_rate": 1.8197704276423508e-05,
|
| 785 |
+
"loss": 3.9793,
|
| 786 |
+
"step": 3550
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 9.28134063809217,
|
| 790 |
+
"grad_norm": 0.7300497045069999,
|
| 791 |
+
"learning_rate": 1.3263681534961238e-05,
|
| 792 |
+
"loss": 3.9804,
|
| 793 |
+
"step": 3600
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 9.28134063809217,
|
| 797 |
+
"eval_loss": 3.9732446670532227,
|
| 798 |
+
"eval_runtime": 13.2151,
|
| 799 |
+
"eval_samples_per_second": 75.671,
|
| 800 |
+
"eval_steps_per_second": 2.421,
|
| 801 |
+
"step": 3600
|
| 802 |
+
}
|
| 803 |
+
],
|
| 804 |
+
"logging_steps": 50,
|
| 805 |
+
"max_steps": 3870,
|
| 806 |
+
"num_input_tokens_seen": 0,
|
| 807 |
+
"num_train_epochs": 10,
|
| 808 |
+
"save_steps": 200,
|
| 809 |
+
"stateful_callbacks": {
|
| 810 |
+
"TrainerControl": {
|
| 811 |
+
"args": {
|
| 812 |
+
"should_epoch_stop": false,
|
| 813 |
+
"should_evaluate": false,
|
| 814 |
+
"should_log": false,
|
| 815 |
+
"should_save": true,
|
| 816 |
+
"should_training_stop": false
|
| 817 |
+
},
|
| 818 |
+
"attributes": {}
|
| 819 |
+
}
|
| 820 |
+
},
|
| 821 |
+
"total_flos": 3201337160368128.0,
|
| 822 |
+
"train_batch_size": 4,
|
| 823 |
+
"trial_name": null,
|
| 824 |
+
"trial_params": null
|
| 825 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f4a1d835cdc8e92de21b3ae79dbe2946cbb5a2d83e764b81e619421dbb0c1922
|
| 3 |
+
size 7224
|