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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": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

trainer_log.jsonl

@@ -0,0 +1,18 @@
+{"current_steps": 10, "total_steps": 510, "loss": 0.8022, "learning_rate": 5e-06, "epoch": 0.058522311631309436, "percentage": 1.96, "elapsed_time": "0:08:52", "remaining_time": "7:23:51"}
+{"current_steps": 20, "total_steps": 510, "loss": 0.7306, "learning_rate": 5e-06, "epoch": 0.11704462326261887, "percentage": 3.92, "elapsed_time": "0:17:40", "remaining_time": "7:13:09"}
+{"current_steps": 30, "total_steps": 510, "loss": 0.7122, "learning_rate": 5e-06, "epoch": 0.1755669348939283, "percentage": 5.88, "elapsed_time": "0:26:29", "remaining_time": "7:03:51"}
+{"current_steps": 40, "total_steps": 510, "loss": 0.6975, "learning_rate": 5e-06, "epoch": 0.23408924652523774, "percentage": 7.84, "elapsed_time": "0:35:18", "remaining_time": "6:54:54"}
+{"current_steps": 50, "total_steps": 510, "loss": 0.6821, "learning_rate": 5e-06, "epoch": 0.29261155815654716, "percentage": 9.8, "elapsed_time": "0:44:06", "remaining_time": "6:45:43"}
+{"current_steps": 60, "total_steps": 510, "loss": 0.6822, "learning_rate": 5e-06, "epoch": 0.3511338697878566, "percentage": 11.76, "elapsed_time": "0:52:54", "remaining_time": "6:36:47"}
+{"current_steps": 70, "total_steps": 510, "loss": 0.6631, "learning_rate": 5e-06, "epoch": 0.40965618141916604, "percentage": 13.73, "elapsed_time": "1:01:41", "remaining_time": "6:27:49"}
+{"current_steps": 80, "total_steps": 510, "loss": 0.6566, "learning_rate": 5e-06, "epoch": 0.4681784930504755, "percentage": 15.69, "elapsed_time": "1:10:30", "remaining_time": "6:18:56"}
+{"current_steps": 90, "total_steps": 510, "loss": 0.6613, "learning_rate": 5e-06, "epoch": 0.5267008046817849, "percentage": 17.65, "elapsed_time": "1:19:17", "remaining_time": "6:10:03"}
+{"current_steps": 100, "total_steps": 510, "loss": 0.6497, "learning_rate": 5e-06, "epoch": 0.5852231163130943, "percentage": 19.61, "elapsed_time": "1:28:05", "remaining_time": "6:01:11"}
+{"current_steps": 110, "total_steps": 510, "loss": 0.6506, "learning_rate": 5e-06, "epoch": 0.6437454279444038, "percentage": 21.57, "elapsed_time": "1:36:54", "remaining_time": "5:52:24"}
+{"current_steps": 120, "total_steps": 510, "loss": 0.6479, "learning_rate": 5e-06, "epoch": 0.7022677395757132, "percentage": 23.53, "elapsed_time": "1:45:43", "remaining_time": "5:43:35"}
+{"current_steps": 130, "total_steps": 510, "loss": 0.6509, "learning_rate": 5e-06, "epoch": 0.7607900512070227, "percentage": 25.49, "elapsed_time": "1:54:31", "remaining_time": "5:34:47"}
+{"current_steps": 140, "total_steps": 510, "loss": 0.6532, "learning_rate": 5e-06, "epoch": 0.8193123628383321, "percentage": 27.45, "elapsed_time": "2:03:20", "remaining_time": "5:25:57"}
+{"current_steps": 150, "total_steps": 510, "loss": 0.6407, "learning_rate": 5e-06, "epoch": 0.8778346744696416, "percentage": 29.41, "elapsed_time": "2:12:08", "remaining_time": "5:17:09"}
+{"current_steps": 160, "total_steps": 510, "loss": 0.646, "learning_rate": 5e-06, "epoch": 0.936356986100951, "percentage": 31.37, "elapsed_time": "2:20:56", "remaining_time": "5:08:19"}
+{"current_steps": 170, "total_steps": 510, "loss": 0.6429, "learning_rate": 5e-06, "epoch": 0.9948792977322605, "percentage": 33.33, "elapsed_time": "2:29:44", "remaining_time": "4:59:29"}
+{"current_steps": 170, "total_steps": 510, "eval_loss": 0.6455708742141724, "epoch": 0.9948792977322605, "percentage": 33.33, "elapsed_time": "2:32:57", "remaining_time": "5:05:54"}

training_args.bin

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+size 7160