Training in progress, step 25

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+  "chat_template": "{{ bos_token }}{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful AI Assistant that provides well-reasoned and detailed responses. You first think about the reasoning process as an internal monologue and then provide the user with the answer. Respond in the following format: <think>\n...\n</think>\n<answer>\n...\n</answer><|im_end|>\n<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n' }}{% elif message['role'] == 'system' %}{{ '<|im_start|>system\n' + message['content'] + '<|im_end|>\n' }}{% elif message['role'] == 'user' %}{{ '<|im_start|>user\n' + message['content'] + '<|im_end|>' + '\n' }}{% elif message['role'] == 'assistant' %}{% if not loop.last %}{{ '<|im_start|>assistant\n' + message['content'] + '<|im_end|>' + '\n' + eos_token + '\n' }}{% else %}{{ '<|im_start|>assistant\n'  + message['content'] + '<|im_end|>' + '\n' + eos_token }}{% endif %}{% endif %}{% if loop.last and add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:24c72a7e0f01b5d84b31e80aa30a4a0921d04a80bef5975fc79a771cfb63eabf
+size 9400