Training in progress, step 43
Browse files- adapter_config.json +1 -1
- adapter_model.safetensors +1 -1
- special_tokens_map.json +1 -1
- tokenizer_config.json +2 -3
- training_args.bin +1 -1
adapter_config.json
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@@ -1,7 +1,7 @@
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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-
"base_model_name_or_path": "unsloth/qwen2.5-14b-
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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+
"base_model_name_or_path": "unsloth/qwen2.5-14b-bnb-4bit",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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adapter_model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 275341720
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:fc5b765710dbd9efaf3bf47cb0eef477444a7dbda9331b7b7ac3ca3528e2efb7
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size 275341720
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special_tokens_map.json
CHANGED
@@ -15,7 +15,7 @@
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"<|video_pad|>"
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],
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"eos_token": {
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-
"content": "<|
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"<|video_pad|>"
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],
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"eos_token": {
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+
"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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tokenizer_config.json
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@@ -203,11 +203,10 @@
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"<|video_pad|>"
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],
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"bos_token": null,
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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 Qwen, created by Alibaba Cloud. 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 Qwen, created by Alibaba Cloud. You 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",
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"clean_up_tokenization_spaces": false,
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-
"eos_token": "<|
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"errors": "replace",
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-
"model_max_length":
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"pad_token": "<|PAD_TOKEN|>",
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"padding_side": "right",
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"split_special_tokens": false,
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"<|video_pad|>"
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],
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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+
"eos_token": "<|endoftext|>",
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"errors": "replace",
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"model_max_length": 131072,
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"pad_token": "<|PAD_TOKEN|>",
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"padding_side": "right",
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"split_special_tokens": false,
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training_args.bin
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 5432
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:bd26b685b3616dd2b10c222dd02f78241883526a9f30baec97e074a5b68acd11
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size 5432
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