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+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# 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>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\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\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

Qwenv2.5_LegalREL_results/checkpoint-332/trainer_state.json

@@ -0,0 +1,66 @@
+{
+  "best_global_step": 332,
+  "best_metric": 0.33899983763694763,
+  "best_model_checkpoint": "Qwenv2.5_LegalREL_results/checkpoint-332",
+  "epoch": 2.0,
+  "eval_steps": 500,
+  "global_step": 332,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 0.875012218952179,
+      "learning_rate": 1.5000000000000002e-05,
+      "loss": 0.4218,
+      "step": 166
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.8515151515151516,
+      "eval_loss": 0.3403477966785431,
+      "eval_runtime": 13.3576,
+      "eval_samples_per_second": 49.41,
+      "eval_steps_per_second": 49.41,
+      "step": 166
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 1.022850751876831,
+      "learning_rate": 4.945137451525707e-06,
+      "loss": 0.2751,
+      "step": 332
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.853030303030303,
+      "eval_loss": 0.33899983763694763,
+      "eval_runtime": 12.4481,
+      "eval_samples_per_second": 53.02,
+      "eval_steps_per_second": 53.02,
+      "step": 332
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 495,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1123270280303616.0,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

Qwenv2.5_LegalREL_results/checkpoint-332/training_args.bin

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+oid sha256:f8d37c90f5fc302576fc807b155c0f867af0b21f37bc22e8441613b432e0f12d
+size 5368