Upload folder using huggingface_hub
Browse files- config.json +125 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scaler.pt +3 -0
- scheduler.pt +3 -0
- trainer_state.json +466 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,125 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"activation_dropout": 0.0,
|
3 |
+
"adapter_attn_dim": null,
|
4 |
+
"adapter_kernel_size": 3,
|
5 |
+
"adapter_stride": 2,
|
6 |
+
"add_adapter": false,
|
7 |
+
"apply_spec_augment": true,
|
8 |
+
"architectures": [
|
9 |
+
"Wav2Vec2ForAudioRegression"
|
10 |
+
],
|
11 |
+
"attention_dropout": 0.1,
|
12 |
+
"bos_token_id": 1,
|
13 |
+
"classifier_proj_size": 256,
|
14 |
+
"codevector_dim": 768,
|
15 |
+
"contrastive_logits_temperature": 0.1,
|
16 |
+
"conv_bias": true,
|
17 |
+
"conv_dim": [
|
18 |
+
512,
|
19 |
+
512,
|
20 |
+
512,
|
21 |
+
512,
|
22 |
+
512,
|
23 |
+
512,
|
24 |
+
512
|
25 |
+
],
|
26 |
+
"conv_kernel": [
|
27 |
+
10,
|
28 |
+
3,
|
29 |
+
3,
|
30 |
+
3,
|
31 |
+
3,
|
32 |
+
2,
|
33 |
+
2
|
34 |
+
],
|
35 |
+
"conv_stride": [
|
36 |
+
5,
|
37 |
+
2,
|
38 |
+
2,
|
39 |
+
2,
|
40 |
+
2,
|
41 |
+
2,
|
42 |
+
2
|
43 |
+
],
|
44 |
+
"ctc_loss_reduction": "sum",
|
45 |
+
"ctc_zero_infinity": false,
|
46 |
+
"diversity_loss_weight": 0.1,
|
47 |
+
"do_stable_layer_norm": true,
|
48 |
+
"eos_token_id": 2,
|
49 |
+
"feat_extract_activation": "gelu",
|
50 |
+
"feat_extract_dropout": 0.0,
|
51 |
+
"feat_extract_norm": "layer",
|
52 |
+
"feat_proj_dropout": 0.1,
|
53 |
+
"feat_quantizer_dropout": 0.0,
|
54 |
+
"final_dropout": 0.0,
|
55 |
+
"finetuning_task": "wav2vec2_regression",
|
56 |
+
"gradient_checkpointing": false,
|
57 |
+
"hidden_act": "gelu",
|
58 |
+
"hidden_dropout": 0.1,
|
59 |
+
"hidden_size": 1024,
|
60 |
+
"id2label": {
|
61 |
+
"0": "LABEL_0"
|
62 |
+
},
|
63 |
+
"initializer_range": 0.02,
|
64 |
+
"intermediate_size": 4096,
|
65 |
+
"label2id": {
|
66 |
+
"LABEL_0": 0
|
67 |
+
},
|
68 |
+
"layer_norm_eps": 1e-05,
|
69 |
+
"layerdrop": 0.1,
|
70 |
+
"mask_channel_length": 10,
|
71 |
+
"mask_channel_min_space": 1,
|
72 |
+
"mask_channel_other": 0.0,
|
73 |
+
"mask_channel_prob": 0.0,
|
74 |
+
"mask_channel_selection": "static",
|
75 |
+
"mask_feature_length": 10,
|
76 |
+
"mask_feature_min_masks": 0,
|
77 |
+
"mask_feature_prob": 0.0,
|
78 |
+
"mask_time_length": 10,
|
79 |
+
"mask_time_min_masks": 2,
|
80 |
+
"mask_time_min_space": 1,
|
81 |
+
"mask_time_other": 0.0,
|
82 |
+
"mask_time_prob": 0.075,
|
83 |
+
"mask_time_selection": "static",
|
84 |
+
"model_type": "wav2vec2",
|
85 |
+
"num_adapter_layers": 3,
|
86 |
+
"num_attention_heads": 16,
|
87 |
+
"num_codevector_groups": 2,
|
88 |
+
"num_codevectors_per_group": 320,
|
89 |
+
"num_conv_pos_embedding_groups": 16,
|
90 |
+
"num_conv_pos_embeddings": 128,
|
91 |
+
"num_feat_extract_layers": 7,
|
92 |
+
"num_hidden_layers": 24,
|
93 |
+
"num_negatives": 100,
|
94 |
+
"output_hidden_size": 1024,
|
95 |
+
"pad_token_id": 0,
|
96 |
+
"pooling_mode": "mean",
|
97 |
+
"problem_type": "regression",
|
98 |
+
"proj_codevector_dim": 768,
|
99 |
+
"tdnn_dilation": [
|
100 |
+
1,
|
101 |
+
2,
|
102 |
+
3,
|
103 |
+
1,
|
104 |
+
1
|
105 |
+
],
|
106 |
+
"tdnn_dim": [
|
107 |
+
512,
|
108 |
+
512,
|
109 |
+
512,
|
110 |
+
512,
|
111 |
+
1500
|
112 |
+
],
|
113 |
+
"tdnn_kernel": [
|
114 |
+
5,
|
115 |
+
3,
|
116 |
+
3,
|
117 |
+
1,
|
118 |
+
1
|
119 |
+
],
|
120 |
+
"torch_dtype": "float32",
|
121 |
+
"transformers_version": "4.50.3",
|
122 |
+
"use_weighted_layer_sum": false,
|
123 |
+
"vocab_size": 32,
|
124 |
+
"xvector_output_dim": 512
|
125 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:beee9cad6447f1e9a6410044e00d0fe0568b2cc4a9356460241ab34066ed29cf
|
3 |
+
size 1266010204
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ce7a8a06b9778a121f398462ad16ceca30c56dc97f39fb648557576f820cb63c
|
3 |
+
size 2532271440
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b152b9f7d7b48829a1b2299a92270be44656a04d72273f4b0c3578ffcd1b99f1
|
3 |
+
size 14244
|
scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:10afc989ad9dd0fec06ec057139942b34d77f6fd53e85d253a1f4f69c016339e
|
3 |
+
size 988
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5cfb1d7dd89b470d7bbf8ab8a7e5768ce4e98edd22662563aa48ac874be01776
|
3 |
+
size 1064
|
trainer_state.json
ADDED
@@ -0,0 +1,466 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 17.88599348534202,
|
6 |
+
"eval_steps": 100,
|
7 |
+
"global_step": 2754,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.6514657980456026,
|
14 |
+
"grad_norm": 1.2638410329818726,
|
15 |
+
"learning_rate": 9.647785039941903e-05,
|
16 |
+
"loss": 0.0465,
|
17 |
+
"step": 100
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.6514657980456026,
|
21 |
+
"eval_loss": 0.03762375935912132,
|
22 |
+
"eval_mse": 0.03703753277659416,
|
23 |
+
"eval_runtime": 88.6656,
|
24 |
+
"eval_samples_per_second": 1.737,
|
25 |
+
"eval_steps_per_second": 0.868,
|
26 |
+
"step": 100
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 1.2996742671009773,
|
30 |
+
"grad_norm": 4.225351333618164,
|
31 |
+
"learning_rate": 9.284676833696442e-05,
|
32 |
+
"loss": 0.0309,
|
33 |
+
"step": 200
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 1.2996742671009773,
|
37 |
+
"eval_loss": 0.02817053347826004,
|
38 |
+
"eval_mse": 0.028493033722043037,
|
39 |
+
"eval_runtime": 89.1695,
|
40 |
+
"eval_samples_per_second": 1.727,
|
41 |
+
"eval_steps_per_second": 0.864,
|
42 |
+
"step": 200
|
43 |
+
},
|
44 |
+
{
|
45 |
+
"epoch": 1.9511400651465798,
|
46 |
+
"grad_norm": 0.3467458188533783,
|
47 |
+
"learning_rate": 8.921568627450981e-05,
|
48 |
+
"loss": 0.0299,
|
49 |
+
"step": 300
|
50 |
+
},
|
51 |
+
{
|
52 |
+
"epoch": 1.9511400651465798,
|
53 |
+
"eval_loss": 0.02852724678814411,
|
54 |
+
"eval_mse": 0.028662405908107758,
|
55 |
+
"eval_runtime": 89.7708,
|
56 |
+
"eval_samples_per_second": 1.715,
|
57 |
+
"eval_steps_per_second": 0.858,
|
58 |
+
"step": 300
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 2.5993485342019547,
|
62 |
+
"grad_norm": 0.9525694847106934,
|
63 |
+
"learning_rate": 8.55846042120552e-05,
|
64 |
+
"loss": 0.0294,
|
65 |
+
"step": 400
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 2.5993485342019547,
|
69 |
+
"eval_loss": 0.027554582804441452,
|
70 |
+
"eval_mse": 0.02786860242486,
|
71 |
+
"eval_runtime": 89.8297,
|
72 |
+
"eval_samples_per_second": 1.714,
|
73 |
+
"eval_steps_per_second": 0.857,
|
74 |
+
"step": 400
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 3.247557003257329,
|
78 |
+
"grad_norm": 5.774784564971924,
|
79 |
+
"learning_rate": 8.195352214960058e-05,
|
80 |
+
"loss": 0.0277,
|
81 |
+
"step": 500
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 3.247557003257329,
|
85 |
+
"eval_loss": 0.02871050126850605,
|
86 |
+
"eval_mse": 0.034602127969264984,
|
87 |
+
"eval_runtime": 89.8152,
|
88 |
+
"eval_samples_per_second": 1.715,
|
89 |
+
"eval_steps_per_second": 0.857,
|
90 |
+
"step": 500
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"epoch": 3.8990228013029316,
|
94 |
+
"grad_norm": 0.9268798232078552,
|
95 |
+
"learning_rate": 7.832244008714598e-05,
|
96 |
+
"loss": 0.0292,
|
97 |
+
"step": 600
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 3.8990228013029316,
|
101 |
+
"eval_loss": 0.03371996432542801,
|
102 |
+
"eval_mse": 0.037180185317993164,
|
103 |
+
"eval_runtime": 90.195,
|
104 |
+
"eval_samples_per_second": 1.707,
|
105 |
+
"eval_steps_per_second": 0.854,
|
106 |
+
"step": 600
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 4.547231270358306,
|
110 |
+
"grad_norm": 0.12350838631391525,
|
111 |
+
"learning_rate": 7.469135802469136e-05,
|
112 |
+
"loss": 0.0272,
|
113 |
+
"step": 700
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 4.547231270358306,
|
117 |
+
"eval_loss": 0.025019396096467972,
|
118 |
+
"eval_mse": 0.02873270958662033,
|
119 |
+
"eval_runtime": 90.451,
|
120 |
+
"eval_samples_per_second": 1.703,
|
121 |
+
"eval_steps_per_second": 0.851,
|
122 |
+
"step": 700
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 5.195439739413681,
|
126 |
+
"grad_norm": 0.3085576593875885,
|
127 |
+
"learning_rate": 7.106027596223676e-05,
|
128 |
+
"loss": 0.0216,
|
129 |
+
"step": 800
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 5.195439739413681,
|
133 |
+
"eval_loss": 0.023245293647050858,
|
134 |
+
"eval_mse": 0.03596530482172966,
|
135 |
+
"eval_runtime": 90.2027,
|
136 |
+
"eval_samples_per_second": 1.707,
|
137 |
+
"eval_steps_per_second": 0.854,
|
138 |
+
"step": 800
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"epoch": 5.846905537459284,
|
142 |
+
"grad_norm": 4.71547269821167,
|
143 |
+
"learning_rate": 6.742919389978214e-05,
|
144 |
+
"loss": 0.02,
|
145 |
+
"step": 900
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 5.846905537459284,
|
149 |
+
"eval_loss": 0.016941210255026817,
|
150 |
+
"eval_mse": 0.032546475529670715,
|
151 |
+
"eval_runtime": 90.1386,
|
152 |
+
"eval_samples_per_second": 1.708,
|
153 |
+
"eval_steps_per_second": 0.854,
|
154 |
+
"step": 900
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 6.495114006514658,
|
158 |
+
"grad_norm": 0.2343684285879135,
|
159 |
+
"learning_rate": 6.379811183732753e-05,
|
160 |
+
"loss": 0.0177,
|
161 |
+
"step": 1000
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 6.495114006514658,
|
165 |
+
"eval_loss": 0.021996306255459785,
|
166 |
+
"eval_mse": 0.031924955546855927,
|
167 |
+
"eval_runtime": 90.9876,
|
168 |
+
"eval_samples_per_second": 1.693,
|
169 |
+
"eval_steps_per_second": 0.846,
|
170 |
+
"step": 1000
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 7.143322475570033,
|
174 |
+
"grad_norm": 0.37635019421577454,
|
175 |
+
"learning_rate": 6.016702977487292e-05,
|
176 |
+
"loss": 0.0203,
|
177 |
+
"step": 1100
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 7.143322475570033,
|
181 |
+
"eval_loss": 0.03620931878685951,
|
182 |
+
"eval_mse": 0.05669161304831505,
|
183 |
+
"eval_runtime": 90.6862,
|
184 |
+
"eval_samples_per_second": 1.698,
|
185 |
+
"eval_steps_per_second": 0.849,
|
186 |
+
"step": 1100
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 7.7947882736156355,
|
190 |
+
"grad_norm": 0.4336552023887634,
|
191 |
+
"learning_rate": 5.65359477124183e-05,
|
192 |
+
"loss": 0.0172,
|
193 |
+
"step": 1200
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 7.7947882736156355,
|
197 |
+
"eval_loss": 0.019503405317664146,
|
198 |
+
"eval_mse": 0.04632864147424698,
|
199 |
+
"eval_runtime": 90.2807,
|
200 |
+
"eval_samples_per_second": 1.706,
|
201 |
+
"eval_steps_per_second": 0.853,
|
202 |
+
"step": 1200
|
203 |
+
},
|
204 |
+
{
|
205 |
+
"epoch": 8.44299674267101,
|
206 |
+
"grad_norm": 1.6894867420196533,
|
207 |
+
"learning_rate": 5.2904865649963685e-05,
|
208 |
+
"loss": 0.0159,
|
209 |
+
"step": 1300
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 8.44299674267101,
|
213 |
+
"eval_loss": 0.018114862963557243,
|
214 |
+
"eval_mse": 0.032530076801776886,
|
215 |
+
"eval_runtime": 90.5229,
|
216 |
+
"eval_samples_per_second": 1.701,
|
217 |
+
"eval_steps_per_second": 0.851,
|
218 |
+
"step": 1300
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 9.091205211726384,
|
222 |
+
"grad_norm": 1.3247390985488892,
|
223 |
+
"learning_rate": 4.927378358750908e-05,
|
224 |
+
"loss": 0.0183,
|
225 |
+
"step": 1400
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 9.091205211726384,
|
229 |
+
"eval_loss": 0.023152034729719162,
|
230 |
+
"eval_mse": 0.05892067402601242,
|
231 |
+
"eval_runtime": 90.2274,
|
232 |
+
"eval_samples_per_second": 1.707,
|
233 |
+
"eval_steps_per_second": 0.853,
|
234 |
+
"step": 1400
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 9.742671009771987,
|
238 |
+
"grad_norm": 0.23432166874408722,
|
239 |
+
"learning_rate": 4.564270152505447e-05,
|
240 |
+
"loss": 0.0167,
|
241 |
+
"step": 1500
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 9.742671009771987,
|
245 |
+
"eval_loss": 0.017632601782679558,
|
246 |
+
"eval_mse": 0.04079648479819298,
|
247 |
+
"eval_runtime": 90.49,
|
248 |
+
"eval_samples_per_second": 1.702,
|
249 |
+
"eval_steps_per_second": 0.851,
|
250 |
+
"step": 1500
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 10.390879478827362,
|
254 |
+
"grad_norm": 0.33277449011802673,
|
255 |
+
"learning_rate": 4.2011619462599856e-05,
|
256 |
+
"loss": 0.0181,
|
257 |
+
"step": 1600
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 10.390879478827362,
|
261 |
+
"eval_loss": 0.026499085128307343,
|
262 |
+
"eval_mse": 0.030374381691217422,
|
263 |
+
"eval_runtime": 90.526,
|
264 |
+
"eval_samples_per_second": 1.701,
|
265 |
+
"eval_steps_per_second": 0.851,
|
266 |
+
"step": 1600
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 11.039087947882736,
|
270 |
+
"grad_norm": 1.5499602556228638,
|
271 |
+
"learning_rate": 3.8380537400145246e-05,
|
272 |
+
"loss": 0.0178,
|
273 |
+
"step": 1700
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 11.039087947882736,
|
277 |
+
"eval_loss": 0.021473562344908714,
|
278 |
+
"eval_mse": 0.040922779589891434,
|
279 |
+
"eval_runtime": 90.8595,
|
280 |
+
"eval_samples_per_second": 1.695,
|
281 |
+
"eval_steps_per_second": 0.847,
|
282 |
+
"step": 1700
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 11.690553745928339,
|
286 |
+
"grad_norm": 0.8587289452552795,
|
287 |
+
"learning_rate": 3.474945533769064e-05,
|
288 |
+
"loss": 0.0164,
|
289 |
+
"step": 1800
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 11.690553745928339,
|
293 |
+
"eval_loss": 0.015354540199041367,
|
294 |
+
"eval_mse": 0.0399436429142952,
|
295 |
+
"eval_runtime": 90.1794,
|
296 |
+
"eval_samples_per_second": 1.708,
|
297 |
+
"eval_steps_per_second": 0.854,
|
298 |
+
"step": 1800
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 12.338762214983714,
|
302 |
+
"grad_norm": 0.19527116417884827,
|
303 |
+
"learning_rate": 3.111837327523602e-05,
|
304 |
+
"loss": 0.0144,
|
305 |
+
"step": 1900
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 12.338762214983714,
|
309 |
+
"eval_loss": 0.018714504316449165,
|
310 |
+
"eval_mse": 0.04291320964694023,
|
311 |
+
"eval_runtime": 90.7039,
|
312 |
+
"eval_samples_per_second": 1.698,
|
313 |
+
"eval_steps_per_second": 0.849,
|
314 |
+
"step": 1900
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 12.990228013029316,
|
318 |
+
"grad_norm": 0.3192684054374695,
|
319 |
+
"learning_rate": 2.7487291212781407e-05,
|
320 |
+
"loss": 0.015,
|
321 |
+
"step": 2000
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 12.990228013029316,
|
325 |
+
"eval_loss": 0.015104055404663086,
|
326 |
+
"eval_mse": 0.04015926271677017,
|
327 |
+
"eval_runtime": 90.635,
|
328 |
+
"eval_samples_per_second": 1.699,
|
329 |
+
"eval_steps_per_second": 0.85,
|
330 |
+
"step": 2000
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 13.63843648208469,
|
334 |
+
"grad_norm": 0.6388863921165466,
|
335 |
+
"learning_rate": 2.38562091503268e-05,
|
336 |
+
"loss": 0.0139,
|
337 |
+
"step": 2100
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 13.63843648208469,
|
341 |
+
"eval_loss": 0.016035696491599083,
|
342 |
+
"eval_mse": 0.04732033237814903,
|
343 |
+
"eval_runtime": 91.5121,
|
344 |
+
"eval_samples_per_second": 1.683,
|
345 |
+
"eval_steps_per_second": 0.841,
|
346 |
+
"step": 2100
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 14.286644951140065,
|
350 |
+
"grad_norm": 0.21684342622756958,
|
351 |
+
"learning_rate": 2.0225127087872185e-05,
|
352 |
+
"loss": 0.0145,
|
353 |
+
"step": 2200
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 14.286644951140065,
|
357 |
+
"eval_loss": 0.018462415784597397,
|
358 |
+
"eval_mse": 0.04823942109942436,
|
359 |
+
"eval_runtime": 90.3632,
|
360 |
+
"eval_samples_per_second": 1.704,
|
361 |
+
"eval_steps_per_second": 0.852,
|
362 |
+
"step": 2200
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 14.938110749185668,
|
366 |
+
"grad_norm": 1.060388445854187,
|
367 |
+
"learning_rate": 1.6594045025417575e-05,
|
368 |
+
"loss": 0.0138,
|
369 |
+
"step": 2300
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 14.938110749185668,
|
373 |
+
"eval_loss": 0.014556349255144596,
|
374 |
+
"eval_mse": 0.04120248183608055,
|
375 |
+
"eval_runtime": 90.4648,
|
376 |
+
"eval_samples_per_second": 1.702,
|
377 |
+
"eval_steps_per_second": 0.851,
|
378 |
+
"step": 2300
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 15.586319218241043,
|
382 |
+
"grad_norm": 0.5649324655532837,
|
383 |
+
"learning_rate": 1.2962962962962962e-05,
|
384 |
+
"loss": 0.0147,
|
385 |
+
"step": 2400
|
386 |
+
},
|
387 |
+
{
|
388 |
+
"epoch": 15.586319218241043,
|
389 |
+
"eval_loss": 0.016257289797067642,
|
390 |
+
"eval_mse": 0.04343423992395401,
|
391 |
+
"eval_runtime": 90.5146,
|
392 |
+
"eval_samples_per_second": 1.701,
|
393 |
+
"eval_steps_per_second": 0.851,
|
394 |
+
"step": 2400
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 16.234527687296417,
|
398 |
+
"grad_norm": 0.2803210914134979,
|
399 |
+
"learning_rate": 9.331880900508353e-06,
|
400 |
+
"loss": 0.0123,
|
401 |
+
"step": 2500
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 16.234527687296417,
|
405 |
+
"eval_loss": 0.015808526426553726,
|
406 |
+
"eval_mse": 0.0433967150747776,
|
407 |
+
"eval_runtime": 90.5827,
|
408 |
+
"eval_samples_per_second": 1.7,
|
409 |
+
"eval_steps_per_second": 0.85,
|
410 |
+
"step": 2500
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 16.88599348534202,
|
414 |
+
"grad_norm": 0.15071052312850952,
|
415 |
+
"learning_rate": 5.700798838053741e-06,
|
416 |
+
"loss": 0.0132,
|
417 |
+
"step": 2600
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 16.88599348534202,
|
421 |
+
"eval_loss": 0.016139788553118706,
|
422 |
+
"eval_mse": 0.039463259279727936,
|
423 |
+
"eval_runtime": 91.04,
|
424 |
+
"eval_samples_per_second": 1.692,
|
425 |
+
"eval_steps_per_second": 0.846,
|
426 |
+
"step": 2600
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 17.534201954397393,
|
430 |
+
"grad_norm": 0.2855733633041382,
|
431 |
+
"learning_rate": 2.0697167755991287e-06,
|
432 |
+
"loss": 0.0131,
|
433 |
+
"step": 2700
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 17.534201954397393,
|
437 |
+
"eval_loss": 0.015753401443362236,
|
438 |
+
"eval_mse": 0.04061569273471832,
|
439 |
+
"eval_runtime": 91.2096,
|
440 |
+
"eval_samples_per_second": 1.688,
|
441 |
+
"eval_steps_per_second": 0.844,
|
442 |
+
"step": 2700
|
443 |
+
}
|
444 |
+
],
|
445 |
+
"logging_steps": 100,
|
446 |
+
"max_steps": 2754,
|
447 |
+
"num_input_tokens_seen": 0,
|
448 |
+
"num_train_epochs": 18,
|
449 |
+
"save_steps": 100,
|
450 |
+
"stateful_callbacks": {
|
451 |
+
"TrainerControl": {
|
452 |
+
"args": {
|
453 |
+
"should_epoch_stop": false,
|
454 |
+
"should_evaluate": false,
|
455 |
+
"should_log": false,
|
456 |
+
"should_save": true,
|
457 |
+
"should_training_stop": true
|
458 |
+
},
|
459 |
+
"attributes": {}
|
460 |
+
}
|
461 |
+
},
|
462 |
+
"total_flos": 1.5386107538383602e+19,
|
463 |
+
"train_batch_size": 2,
|
464 |
+
"trial_name": null,
|
465 |
+
"trial_params": null
|
466 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bdcd97e2e6c734a99352d9651d92da44f783a68798e3ea16a7754ecf017e5737
|
3 |
+
size 5304
|