Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja

@@ -0,0 +1,85 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set content = message.content %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in message.content %}
+                {%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
+                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

config.json

@@ -0,0 +1,38 @@
+{
+  "architectures": [
+    "Qwen3MoeForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "decoder_sparse_step": 1,
+  "eos_token_id": 151643,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 48,
+  "mlp_only_layers": [],
+  "model_type": "qwen3_moe",
+  "moe_intermediate_size": 768,
+  "norm_topk_prob": true,
+  "num_attention_heads": 32,
+  "num_experts": 128,
+  "num_experts_per_tok": 8,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 4,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.0.dev0",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.52.0.dev0"
+}

model-00001-of-00013.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:304e81672ff86939dcb43c0cad4efdd126465157381a51e5ef3dc8cf4b0d7f44
+size 4997184968

model-00002-of-00013.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b27eb08bb116e3d4907d096431c65be4ea6c5b08f5c41711236377ee6a2ee46
+size 4997741608

model-00003-of-00013.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:60f404ef9a0ac8140e332984ea95704d4cff834833def86e2b3413f019e103ce
+size 4997742208

model-00004-of-00013.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2bee70a2eed25ce9c0b0209661fbb7a42a926ca07ebad14585f6c14dc1873713
+size 4997743184

model-00005-of-00013.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b3a0a838cb8043dbfa466e529ca1179a3b3cf8af2a41b7738cfa714300dd8866
+size 4997743184

model-00006-of-00013.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00da88f02e5743645c33378157828911c90fdf0a548643f90d99b4b0f25a7ff9
+size 4997743184

model-00007-of-00013.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:74c18648c00afe07ece270453dd8884f16dca0bdc69a3df0bc43db7b659315e0
+size 4997743184

model-00008-of-00013.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1eb40d8ed164e4c24fd428de8faec7377a53d96650268fade288886589ce85b1
+size 4997743184

model-00009-of-00013.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a377e978285a68934a6cd1274d3548ea32b2b1c41b485f8e5b771fc0ba22a4b4
+size 4997743184

model-00010-of-00013.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:01f00224c6dfd5b5f0c332160639cd535b9bd010c9e52085ed1fd575d7975b5f
+size 4997743184

model-00011-of-00013.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:051282a8adb353976a0b94f0541b8cba0b05f9ef9b8f8990d7fad701f242fda5
+size 4997743184

model-00012-of-00013.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7cd590755853a4c042910721bf12afe05003fc2f2bb49aedb3cfeffd4082853f
+size 4997743184

model-00013-of-00013.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e142a2a82fc9c0984a827a9e559a606beff30352b2f204c821cb6043a9cc61de
+size 1094220288

special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
+size 11422654

tokenizer_config.json

@@ -0,0 +1,240 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

trainer_state.json

@@ -0,0 +1,1014 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 4.842105263157895,
+  "eval_steps": 500,
+  "global_step": 140,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.03508771929824561,
+      "grad_norm": 2.067223362182073,
+      "learning_rate": 0.0,
+      "loss": 0.866,
+      "step": 1
+    },
+    {
+      "epoch": 0.07017543859649122,
+      "grad_norm": 2.2905484024803084,
+      "learning_rate": 7.142857142857143e-07,
+      "loss": 1.043,
+      "step": 2
+    },
+    {
+      "epoch": 0.10526315789473684,
+      "grad_norm": 2.0823489332612506,
+      "learning_rate": 1.4285714285714286e-06,
+      "loss": 0.9479,
+      "step": 3
+    },
+    {
+      "epoch": 0.14035087719298245,
+      "grad_norm": 2.155054227940796,
+      "learning_rate": 2.1428571428571427e-06,
+      "loss": 1.0054,
+      "step": 4
+    },
+    {
+      "epoch": 0.17543859649122806,
+      "grad_norm": 2.122195910115268,
+      "learning_rate": 2.8571428571428573e-06,
+      "loss": 1.0227,
+      "step": 5
+    },
+    {
+      "epoch": 0.21052631578947367,
+      "grad_norm": 2.0002296419363823,
+      "learning_rate": 3.5714285714285718e-06,
+      "loss": 0.9994,
+      "step": 6
+    },
+    {
+      "epoch": 0.24561403508771928,
+      "grad_norm": 1.7794168286652636,
+      "learning_rate": 4.2857142857142855e-06,
+      "loss": 0.9833,
+      "step": 7
+    },
+    {
+      "epoch": 0.2807017543859649,
+      "grad_norm": 1.608102047372758,
+      "learning_rate": 5e-06,
+      "loss": 1.0059,
+      "step": 8
+    },
+    {
+      "epoch": 0.3157894736842105,
+      "grad_norm": 1.5096684699130434,
+      "learning_rate": 4.999302593030069e-06,
+      "loss": 1.0199,
+      "step": 9
+    },
+    {
+      "epoch": 0.3508771929824561,
+      "grad_norm": 1.2553700926461733,
+      "learning_rate": 4.99721076122146e-06,
+      "loss": 0.9945,
+      "step": 10
+    },
+    {
+      "epoch": 0.38596491228070173,
+      "grad_norm": 1.0588682250755448,
+      "learning_rate": 4.99372567166064e-06,
+      "loss": 0.8896,
+      "step": 11
+    },
+    {
+      "epoch": 0.42105263157894735,
+      "grad_norm": 1.2403025527385267,
+      "learning_rate": 4.98884926876821e-06,
+      "loss": 0.9064,
+      "step": 12
+    },
+    {
+      "epoch": 0.45614035087719296,
+      "grad_norm": 1.3277416791779741,
+      "learning_rate": 4.982584273214061e-06,
+      "loss": 0.9728,
+      "step": 13
+    },
+    {
+      "epoch": 0.49122807017543857,
+      "grad_norm": 1.200452342066303,
+      "learning_rate": 4.974934180399447e-06,
+      "loss": 0.8801,
+      "step": 14
+    },
+    {
+      "epoch": 0.5263157894736842,
+      "grad_norm": 1.2276015693500428,
+      "learning_rate": 4.965903258506806e-06,
+      "loss": 0.9056,
+      "step": 15
+    },
+    {
+      "epoch": 0.5614035087719298,
+      "grad_norm": 0.9588298096291193,
+      "learning_rate": 4.955496546118439e-06,
+      "loss": 0.851,
+      "step": 16
+    },
+    {
+      "epoch": 0.5964912280701754,
+      "grad_norm": 0.8961934214540342,
+      "learning_rate": 4.943719849405347e-06,
+      "loss": 0.9588,
+      "step": 17
+    },
+    {
+      "epoch": 0.631578947368421,
+      "grad_norm": 0.7752982692883841,
+      "learning_rate": 4.930579738887827e-06,
+      "loss": 0.8592,
+      "step": 18
+    },
+    {
+      "epoch": 0.6666666666666666,
+      "grad_norm": 0.7598215199572412,
+      "learning_rate": 4.9160835457696075e-06,
+      "loss": 0.9224,
+      "step": 19
+    },
+    {
+      "epoch": 0.7017543859649122,
+      "grad_norm": 0.7947043775095588,
+      "learning_rate": 4.900239357847582e-06,
+      "loss": 0.9183,
+      "step": 20
+    },
+    {
+      "epoch": 0.7368421052631579,
+      "grad_norm": 0.8131278296751281,
+      "learning_rate": 4.883056014999423e-06,
+      "loss": 0.8854,
+      "step": 21
+    },
+    {
+      "epoch": 0.7719298245614035,
+      "grad_norm": 0.720597258722373,
+      "learning_rate": 4.864543104251587e-06,
+      "loss": 0.837,
+      "step": 22
+    },
+    {
+      "epoch": 0.8070175438596491,
+      "grad_norm": 0.698175660395316,
+      "learning_rate": 4.844710954430464e-06,
+      "loss": 0.9006,
+      "step": 23
+    },
+    {
+      "epoch": 0.8421052631578947,
+      "grad_norm": 0.6061246443427316,
+      "learning_rate": 4.823570630399665e-06,
+      "loss": 0.8713,
+      "step": 24
+    },
+    {
+      "epoch": 0.8771929824561403,
+      "grad_norm": 0.5800728862173004,
+      "learning_rate": 4.8011339268866505e-06,
+      "loss": 0.8572,
+      "step": 25
+    },
+    {
+      "epoch": 0.9122807017543859,
+      "grad_norm": 0.6881850987832964,
+      "learning_rate": 4.777413361902152e-06,
+      "loss": 0.9243,
+      "step": 26
+    },
+    {
+      "epoch": 0.9473684210526315,
+      "grad_norm": 0.6013453853835422,
+      "learning_rate": 4.752422169756048e-06,
+      "loss": 0.8215,
+      "step": 27
+    },
+    {
+      "epoch": 0.9824561403508771,
+      "grad_norm": 0.5049917945559669,
+      "learning_rate": 4.726174293673612e-06,
+      "loss": 0.8498,
+      "step": 28
+    },
+    {
+      "epoch": 1.0,
+      "grad_norm": 0.5049917945559669,
+      "learning_rate": 4.698684378016223e-06,
+      "loss": 0.7765,
+      "step": 29
+    },
+    {
+      "epoch": 1.0350877192982457,
+      "grad_norm": 0.8391221152195739,
+      "learning_rate": 4.669967760110908e-06,
+      "loss": 0.8698,
+      "step": 30
+    },
+    {
+      "epoch": 1.0701754385964912,
+      "grad_norm": 0.5071651643461081,
+      "learning_rate": 4.6400404616932505e-06,
+      "loss": 0.8376,
+      "step": 31
+    },
+    {
+      "epoch": 1.1052631578947367,
+      "grad_norm": 0.4758228095407797,
+      "learning_rate": 4.608919179968457e-06,
+      "loss": 0.883,
+      "step": 32
+    },
+    {
+      "epoch": 1.1403508771929824,
+      "grad_norm": 0.4648364085184619,
+      "learning_rate": 4.576621278295558e-06,
+      "loss": 0.8628,
+      "step": 33
+    },
+    {
+      "epoch": 1.1754385964912282,
+      "grad_norm": 0.4712254209084955,
+      "learning_rate": 4.543164776499945e-06,
+      "loss": 0.8281,
+      "step": 34
+    },
+    {
+      "epoch": 1.2105263157894737,
+      "grad_norm": 0.4013954971972578,
+      "learning_rate": 4.508568340819654e-06,
+      "loss": 0.8867,
+      "step": 35
+    },
+    {
+      "epoch": 1.2456140350877192,
+      "grad_norm": 0.41192488021825646,
+      "learning_rate": 4.472851273490985e-06,
+      "loss": 0.8675,
+      "step": 36
+    },
+    {
+      "epoch": 1.280701754385965,
+      "grad_norm": 0.4239007109950775,
+      "learning_rate": 4.436033501979299e-06,
+      "loss": 0.8591,
+      "step": 37
+    },
+    {
+      "epoch": 1.3157894736842106,
+      "grad_norm": 0.41628314789696425,
+      "learning_rate": 4.398135567860972e-06,
+      "loss": 0.8254,
+      "step": 38
+    },
+    {
+      "epoch": 1.3508771929824561,
+      "grad_norm": 0.3923309284581745,
+      "learning_rate": 4.359178615362725e-06,
+      "loss": 0.7828,
+      "step": 39
+    },
+    {
+      "epoch": 1.3859649122807016,
+      "grad_norm": 0.47649896532625685,
+      "learning_rate": 4.319184379564716e-06,
+      "loss": 0.8922,
+      "step": 40
+    },
+    {
+      "epoch": 1.4210526315789473,
+      "grad_norm": 0.47963769728260897,
+      "learning_rate": 4.278175174273989e-06,
+      "loss": 0.8179,
+      "step": 41
+    },
+    {
+      "epoch": 1.456140350877193,
+      "grad_norm": 0.44693221984156073,
+      "learning_rate": 4.236173879575022e-06,
+      "loss": 0.7873,
+      "step": 42
+    },
+    {
+      "epoch": 1.4912280701754386,
+      "grad_norm": 0.3915854729078168,
+      "learning_rate": 4.1932039290643534e-06,
+      "loss": 0.7786,
+      "step": 43
+    },
+    {
+      "epoch": 1.526315789473684,
+      "grad_norm": 0.3379023862301008,
+      "learning_rate": 4.149289296776369e-06,
+      "loss": 0.9101,
+      "step": 44
+    },
+    {
+      "epoch": 1.5614035087719298,
+      "grad_norm": 0.3691862472080892,
+      "learning_rate": 4.104454483807579e-06,
+      "loss": 0.8606,
+      "step": 45
+    },
+    {
+      "epoch": 1.5964912280701755,
+      "grad_norm": 0.34291927069087574,
+      "learning_rate": 4.058724504646834e-06,
+      "loss": 0.7938,
+      "step": 46
+    },
+    {
+      "epoch": 1.631578947368421,
+      "grad_norm": 0.4003834992970626,
+      "learning_rate": 4.012124873219094e-06,
+      "loss": 0.7814,
+      "step": 47
+    },
+    {
+      "epoch": 1.6666666666666665,
+      "grad_norm": 0.3392403324591956,
+      "learning_rate": 3.964681588650562e-06,
+      "loss": 0.8389,
+      "step": 48
+    },
+    {
+      "epoch": 1.7017543859649122,
+      "grad_norm": 0.3377270590051618,
+      "learning_rate": 3.916421120763106e-06,
+      "loss": 0.85,
+      "step": 49
+    },
+    {
+      "epoch": 1.736842105263158,
+      "grad_norm": 0.38740961950138847,
+      "learning_rate": 3.8673703953060685e-06,
+      "loss": 0.8348,
+      "step": 50
+    },
+    {
+      "epoch": 1.7719298245614035,
+      "grad_norm": 0.35219126914631843,
+      "learning_rate": 3.817556778933697e-06,
+      "loss": 0.8577,
+      "step": 51
+    },
+    {
+      "epoch": 1.807017543859649,
+      "grad_norm": 0.3774463349958884,
+      "learning_rate": 3.7670080639366e-06,
+      "loss": 0.8769,
+      "step": 52
+    },
+    {
+      "epoch": 1.8421052631578947,
+      "grad_norm": 0.35130371579419645,
+      "learning_rate": 3.7157524527357036e-06,
+      "loss": 0.7163,
+      "step": 53
+    },
+    {
+      "epoch": 1.8771929824561404,
+      "grad_norm": 0.3551942508437019,
+      "learning_rate": 3.663818542147409e-06,
+      "loss": 0.8756,
+      "step": 54
+    },
+    {
+      "epoch": 1.912280701754386,
+      "grad_norm": 0.3537337899404262,
+      "learning_rate": 3.61123530742869e-06,
+      "loss": 0.8219,
+      "step": 55
+    },
+    {
+      "epoch": 1.9473684210526314,
+      "grad_norm": 0.327364809217546,
+      "learning_rate": 3.5580320861110627e-06,
+      "loss": 0.8696,
+      "step": 56
+    },
+    {
+      "epoch": 1.9824561403508771,
+      "grad_norm": 0.3367652725930036,
+      "learning_rate": 3.5042385616324243e-06,
+      "loss": 0.872,
+      "step": 57
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 0.5052810208370435,
+      "learning_rate": 3.4498847467759e-06,
+      "loss": 0.8607,
+      "step": 58
+    },
+    {
+      "epoch": 2.0350877192982457,
+      "grad_norm": 0.3177161861315085,
+      "learning_rate": 3.3950009669249502e-06,
+      "loss": 0.7808,
+      "step": 59
+    },
+    {
+      "epoch": 2.0701754385964914,
+      "grad_norm": 0.3450713484869485,
+      "learning_rate": 3.3396178431440572e-06,
+      "loss": 0.9217,
+      "step": 60
+    },
+    {
+      "epoch": 2.1052631578947367,
+      "grad_norm": 0.32271078088898175,
+      "learning_rate": 3.283766275094454e-06,
+      "loss": 0.7982,
+      "step": 61
+    },
+    {
+      "epoch": 2.1403508771929824,
+      "grad_norm": 0.33864939828309026,
+      "learning_rate": 3.227477423794412e-06,
+      "loss": 0.7907,
+      "step": 62
+    },
+    {
+      "epoch": 2.175438596491228,
+      "grad_norm": 0.32084183022976825,
+      "learning_rate": 3.1707826942337124e-06,
+      "loss": 0.8362,
+      "step": 63
+    },
+    {
+      "epoch": 2.2105263157894735,
+      "grad_norm": 0.31523598018882065,
+      "learning_rate": 3.1137137178519983e-06,
+      "loss": 0.8603,
+      "step": 64
+    },
+    {
+      "epoch": 2.245614035087719,
+      "grad_norm": 0.3534452142386561,
+      "learning_rate": 3.056302334890786e-06,
+      "loss": 0.7473,
+      "step": 65
+    },
+    {
+      "epoch": 2.280701754385965,
+      "grad_norm": 0.3065081387248856,
+      "learning_rate": 2.9985805766289815e-06,
+      "loss": 0.8076,
+      "step": 66
+    },
+    {
+      "epoch": 2.3157894736842106,
+      "grad_norm": 0.31593346837979236,
+      "learning_rate": 2.940580647511805e-06,
+      "loss": 0.7911,
+      "step": 67
+    },
+    {
+      "epoch": 2.3508771929824563,
+      "grad_norm": 0.33421077857364934,
+      "learning_rate": 2.8823349071831154e-06,
+      "loss": 0.8567,
+      "step": 68
+    },
+    {
+      "epoch": 2.3859649122807016,
+      "grad_norm": 0.36084453724888643,
+      "learning_rate": 2.8238758524311316e-06,
+      "loss": 0.7815,
+      "step": 69
+    },
+    {
+      "epoch": 2.4210526315789473,
+      "grad_norm": 0.31104114669216265,
+      "learning_rate": 2.7652360990576457e-06,
+      "loss": 0.9035,
+      "step": 70
+    },
+    {
+      "epoch": 2.456140350877193,
+      "grad_norm": 0.3283662140442227,
+      "learning_rate": 2.7064483636808314e-06,
+      "loss": 0.815,
+      "step": 71
+    },
+    {
+      "epoch": 2.4912280701754383,
+      "grad_norm": 0.28913740772142477,
+      "learning_rate": 2.6475454454818072e-06,
+      "loss": 0.8369,
+      "step": 72
+    },
+    {
+      "epoch": 2.526315789473684,
+      "grad_norm": 0.30507064501325465,
+      "learning_rate": 2.5885602079051354e-06,
+      "loss": 0.7603,
+      "step": 73
+    },
+    {
+      "epoch": 2.56140350877193,
+      "grad_norm": 0.3531329822293121,
+      "learning_rate": 2.529525560323462e-06,
+      "loss": 0.8004,
+      "step": 74
+    },
+    {
+      "epoch": 2.5964912280701755,
+      "grad_norm": 0.3210792288970346,
+      "learning_rate": 2.470474439676539e-06,
+      "loss": 0.8168,
+      "step": 75
+    },
+    {
+      "epoch": 2.6315789473684212,
+      "grad_norm": 0.36897603215114533,
+      "learning_rate": 2.411439792094866e-06,
+      "loss": 0.8398,
+      "step": 76
+    },
+    {
+      "epoch": 2.6666666666666665,
+      "grad_norm": 0.3217143259950112,
+      "learning_rate": 2.3524545545181936e-06,
+      "loss": 0.866,
+      "step": 77
+    },
+    {
+      "epoch": 2.7017543859649122,
+      "grad_norm": 0.3126909067501635,
+      "learning_rate": 2.2935516363191695e-06,
+      "loss": 0.8341,
+      "step": 78
+    },
+    {
+      "epoch": 2.736842105263158,
+      "grad_norm": 0.3006660553493533,
+      "learning_rate": 2.234763900942355e-06,
+      "loss": 0.8081,
+      "step": 79
+    },
+    {
+      "epoch": 2.7719298245614032,
+      "grad_norm": 0.316850226629777,
+      "learning_rate": 2.1761241475688697e-06,
+      "loss": 0.7562,
+      "step": 80
+    },
+    {
+      "epoch": 2.807017543859649,
+      "grad_norm": 0.2903780216034827,
+      "learning_rate": 2.117665092816885e-06,
+      "loss": 0.7419,
+      "step": 81
+    },
+    {
+      "epoch": 2.8421052631578947,
+      "grad_norm": 0.3424299492049514,
+      "learning_rate": 2.059419352488196e-06,
+      "loss": 0.8289,
+      "step": 82
+    },
+    {
+      "epoch": 2.8771929824561404,
+      "grad_norm": 0.3113278689750571,
+      "learning_rate": 2.0014194233710193e-06,
+      "loss": 0.823,
+      "step": 83
+    },
+    {
+      "epoch": 2.912280701754386,
+      "grad_norm": 0.3375235251647405,
+      "learning_rate": 1.9436976651092143e-06,
+      "loss": 0.8292,
+      "step": 84
+    },
+    {
+      "epoch": 2.9473684210526314,
+      "grad_norm": 0.3084098102163688,
+      "learning_rate": 1.8862862821480023e-06,
+      "loss": 0.7702,
+      "step": 85
+    },
+    {
+      "epoch": 2.982456140350877,
+      "grad_norm": 0.30920611879243615,
+      "learning_rate": 1.829217305766289e-06,
+      "loss": 0.8181,
+      "step": 86
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 0.30920611879243615,
+      "learning_rate": 1.772522576205589e-06,
+      "loss": 0.6831,
+      "step": 87
+    },
+    {
+      "epoch": 3.0350877192982457,
+      "grad_norm": 0.46709482387410683,
+      "learning_rate": 1.7162337249055478e-06,
+      "loss": 0.7982,
+      "step": 88
+    },
+    {
+      "epoch": 3.0701754385964914,
+      "grad_norm": 0.3370869471421174,
+      "learning_rate": 1.6603821568559436e-06,
+      "loss": 0.881,
+      "step": 89
+    },
+    {
+      "epoch": 3.1052631578947367,
+      "grad_norm": 0.3179079897916838,
+      "learning_rate": 1.6049990330750508e-06,
+      "loss": 0.8329,
+      "step": 90
+    },
+    {
+      "epoch": 3.1403508771929824,
+      "grad_norm": 0.3291466920072208,
+      "learning_rate": 1.5501152532241003e-06,
+      "loss": 0.8082,
+      "step": 91
+    },
+    {
+      "epoch": 3.175438596491228,
+      "grad_norm": 0.2663561721256465,
+      "learning_rate": 1.495761438367577e-06,
+      "loss": 0.7935,
+      "step": 92
+    },
+    {
+      "epoch": 3.2105263157894735,
+      "grad_norm": 0.3378088081469463,
+      "learning_rate": 1.4419679138889379e-06,
+      "loss": 0.9118,
+      "step": 93
+    },
+    {
+      "epoch": 3.245614035087719,
+      "grad_norm": 0.2748060877432168,
+      "learning_rate": 1.3887646925713116e-06,
+      "loss": 0.7708,
+      "step": 94
+    },
+    {
+      "epoch": 3.280701754385965,
+      "grad_norm": 0.2918477343216952,
+      "learning_rate": 1.3361814578525922e-06,
+      "loss": 0.7648,
+      "step": 95
+    },
+    {
+      "epoch": 3.3157894736842106,
+      "grad_norm": 0.3822259736080091,
+      "learning_rate": 1.2842475472642969e-06,
+      "loss": 0.8481,
+      "step": 96
+    },
+    {
+      "epoch": 3.3508771929824563,
+      "grad_norm": 0.2913972912654805,
+      "learning_rate": 1.2329919360634003e-06,
+      "loss": 0.8131,
+      "step": 97
+    },
+    {
+      "epoch": 3.3859649122807016,
+      "grad_norm": 0.3066641760210679,
+      "learning_rate": 1.182443221066303e-06,
+      "loss": 0.7058,
+      "step": 98
+    },
+    {
+      "epoch": 3.4210526315789473,
+      "grad_norm": 0.2900386082534738,
+      "learning_rate": 1.1326296046939334e-06,
+      "loss": 0.7342,
+      "step": 99
+    },
+    {
+      "epoch": 3.456140350877193,
+      "grad_norm": 0.3203517403497328,
+      "learning_rate": 1.083578879236895e-06,
+      "loss": 0.7412,
+      "step": 100
+    },
+    {
+      "epoch": 3.4912280701754383,
+      "grad_norm": 0.28656600494309065,
+      "learning_rate": 1.0353184113494386e-06,
+      "loss": 0.7715,
+      "step": 101
+    },
+    {
+      "epoch": 3.526315789473684,
+      "grad_norm": 0.29628157944674766,
+      "learning_rate": 9.878751267809069e-07,
+      "loss": 0.7555,
+      "step": 102
+    },
+    {
+      "epoch": 3.56140350877193,
+      "grad_norm": 0.26411035275922856,
+      "learning_rate": 9.412754953531664e-07,
+      "loss": 0.7726,
+      "step": 103
+    },
+    {
+      "epoch": 3.5964912280701755,
+      "grad_norm": 0.34453008632884863,
+      "learning_rate": 8.955455161924217e-07,
+      "loss": 0.78,
+      "step": 104
+    },
+    {
+      "epoch": 3.6315789473684212,
+      "grad_norm": 0.325563928726771,
+      "learning_rate": 8.507107032236323e-07,
+      "loss": 0.6829,
+      "step": 105
+    },
+    {
+      "epoch": 3.6666666666666665,
+      "grad_norm": 0.31584897068831647,
+      "learning_rate": 8.067960709356479e-07,
+      "loss": 0.7739,
+      "step": 106
+    },
+    {
+      "epoch": 3.7017543859649122,
+      "grad_norm": 0.3146533494629239,
+      "learning_rate": 7.638261204249783e-07,
+      "loss": 0.7716,
+      "step": 107
+    },
+    {
+      "epoch": 3.736842105263158,
+      "grad_norm": 0.32266730096043933,
+      "learning_rate": 7.218248257260127e-07,
+      "loss": 0.8332,
+      "step": 108
+    },
+    {
+      "epoch": 3.7719298245614032,
+      "grad_norm": 0.2910022026214654,
+      "learning_rate": 6.808156204352845e-07,
+      "loss": 0.8566,
+      "step": 109
+    },
+    {
+      "epoch": 3.807017543859649,
+      "grad_norm": 0.29701746352400193,
+      "learning_rate": 6.40821384637276e-07,
+      "loss": 0.838,
+      "step": 110
+    },
+    {
+      "epoch": 3.8421052631578947,
+      "grad_norm": 0.31966449944224506,
+      "learning_rate": 6.018644321390288e-07,
+      "loss": 0.8225,
+      "step": 111
+    },
+    {
+      "epoch": 3.8771929824561404,
+      "grad_norm": 0.2863822961617792,
+      "learning_rate": 5.639664980207024e-07,
+      "loss": 0.7654,
+      "step": 112
+    },
+    {
+      "epoch": 3.912280701754386,
+      "grad_norm": 0.3072140143203843,
+      "learning_rate": 5.271487265090163e-07,
+      "loss": 0.7757,
+      "step": 113
+    },
+    {
+      "epoch": 3.9473684210526314,
+      "grad_norm": 0.2809560367104084,
+      "learning_rate": 4.914316591803475e-07,
+      "loss": 0.7929,
+      "step": 114
+    },
+    {
+      "epoch": 3.982456140350877,
+      "grad_norm": 0.32556802320373446,
+      "learning_rate": 4.5683522350005505e-07,
+      "loss": 0.8097,
+      "step": 115
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 0.47825225825507217,
+      "learning_rate": 4.23378721704443e-07,
+      "loss": 0.7607,
+      "step": 116
+    },
+    {
+      "epoch": 4.035087719298246,
+      "grad_norm": 0.2884567469754835,
+      "learning_rate": 3.910808200315433e-07,
+      "loss": 0.7676,
+      "step": 117
+    },
+    {
+      "epoch": 4.0701754385964914,
+      "grad_norm": 0.3182187799462883,
+      "learning_rate": 3.5995953830675004e-07,
+      "loss": 0.7889,
+      "step": 118
+    },
+    {
+      "epoch": 4.105263157894737,
+      "grad_norm": 0.3206780821308196,
+      "learning_rate": 3.3003223988909234e-07,
+      "loss": 0.7995,
+      "step": 119
+    },
+    {
+      "epoch": 4.140350877192983,
+      "grad_norm": 0.29045985883088904,
+      "learning_rate": 3.0131562198377763e-07,
+      "loss": 0.7777,
+      "step": 120
+    },
+    {
+      "epoch": 4.175438596491228,
+      "grad_norm": 0.2890942050581055,
+      "learning_rate": 2.7382570632638853e-07,
+      "loss": 0.7586,
+      "step": 121
+    },
+    {
+      "epoch": 4.2105263157894735,
+      "grad_norm": 0.2996096336122156,
+      "learning_rate": 2.4757783024395244e-07,
+      "loss": 0.7141,
+      "step": 122
+    },
+    {
+      "epoch": 4.245614035087719,
+      "grad_norm": 0.28282887621154235,
+      "learning_rate": 2.2258663809784892e-07,
+      "loss": 0.7794,
+      "step": 123
+    },
+    {
+      "epoch": 4.280701754385965,
+      "grad_norm": 0.32670318807921217,
+      "learning_rate": 1.9886607311334987e-07,
+      "loss": 0.8126,
+      "step": 124
+    },
+    {
+      "epoch": 4.315789473684211,
+      "grad_norm": 0.6396616902495418,
+      "learning_rate": 1.764293696003358e-07,
+      "loss": 0.855,
+      "step": 125
+    },
+    {
+      "epoch": 4.350877192982456,
+      "grad_norm": 0.3105123473589777,
+      "learning_rate": 1.552890455695369e-07,
+      "loss": 0.7864,
+      "step": 126
+    },
+    {
+      "epoch": 4.385964912280702,
+      "grad_norm": 0.31471995293981275,
+      "learning_rate": 1.3545689574841341e-07,
+      "loss": 0.7959,
+      "step": 127
+    },
+    {
+      "epoch": 4.421052631578947,
+      "grad_norm": 0.2885989494400454,
+      "learning_rate": 1.1694398500057714e-07,
+      "loss": 0.8017,
+      "step": 128
+    },
+    {
+      "epoch": 4.456140350877193,
+      "grad_norm": 0.2739576160503863,
+      "learning_rate": 9.976064215241859e-08,
+      "loss": 0.8043,
+      "step": 129
+    },
+    {
+      "epoch": 4.491228070175438,
+      "grad_norm": 0.29411590660069753,
+      "learning_rate": 8.391645423039357e-08,
+      "loss": 0.8661,
+      "step": 130
+    },
+    {
+      "epoch": 4.526315789473684,
+      "grad_norm": 1.3814580420291491,
+      "learning_rate": 6.94202611121736e-08,
+      "loss": 0.7681,
+      "step": 131
+    },
+    {
+      "epoch": 4.56140350877193,
+      "grad_norm": 0.29380556063864866,
+      "learning_rate": 5.628015059465364e-08,
+      "loss": 0.7929,
+      "step": 132
+    },
+    {
+      "epoch": 4.5964912280701755,
+      "grad_norm": 0.2722868371572552,
+      "learning_rate": 4.450345388156141e-08,
+      "loss": 0.688,
+      "step": 133
+    },
+    {
+      "epoch": 4.631578947368421,
+      "grad_norm": 0.2958548587321527,
+      "learning_rate": 3.4096741493194196e-08,
+      "loss": 0.7044,
+      "step": 134
+    },
+    {
+      "epoch": 4.666666666666667,
+      "grad_norm": 0.2911249362393912,
+      "learning_rate": 2.506581960055432e-08,
+      "loss": 0.7699,
+      "step": 135
+    },
+    {
+      "epoch": 4.701754385964913,
+      "grad_norm": 0.32311541133471755,
+      "learning_rate": 1.7415726785939836e-08,
+      "loss": 0.7553,
+      "step": 136
+    },
+    {
+      "epoch": 4.7368421052631575,
+      "grad_norm": 0.29755358398825144,
+      "learning_rate": 1.115073123179128e-08,
+      "loss": 0.8038,
+      "step": 137
+    },
+    {
+      "epoch": 4.771929824561403,
+      "grad_norm": 0.27621549811178525,
+      "learning_rate": 6.274328339360702e-09,
+      "loss": 0.8295,
+      "step": 138
+    },
+    {
+      "epoch": 4.807017543859649,
+      "grad_norm": 0.32039361922969517,
+      "learning_rate": 2.789238778540537e-09,
+      "loss": 0.7832,
+      "step": 139
+    },
+    {
+      "epoch": 4.842105263157895,
+      "grad_norm": 0.2926203169600849,
+      "learning_rate": 6.974069699314246e-10,
+      "loss": 0.7585,
+      "step": 140
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 140,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 5,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 63037458677760.0,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:662904763cd0f20d1938bb9f0d503bf9135ec41bc6ae8a62b91e7ed9be33b7b7
+size 8017