Model save
Browse files- README.md +0 -9
- adapter_config.json +3 -3
- adapter_model.safetensors +2 -2
- fine-tuned-model/adapter_config.json +2 -2
- fine-tuned-model/adapter_model.safetensors +1 -1
- fine-tuned-model/training_args.bin +1 -1
- special_tokens_map.json +16 -6
- tokenizer.json +0 -0
- tokenizer_config.json +20 -20
- training_args.bin +1 -1
README.md
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@@ -17,8 +17,6 @@ should probably proofread and complete it, then remove this comment. -->
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# output
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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## Model description
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- lr_scheduler_type: cosine
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0 | 1.0 | 1250 | nan |
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### Framework versions
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- PEFT 0.12.0
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# output
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on an unknown dataset.
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## Model description
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- lr_scheduler_type: cosine
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- num_epochs: 1
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### Framework versions
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- PEFT 0.12.0
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adapter_config.json
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{
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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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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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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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"revision": null,
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"target_modules": [
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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fine-tuned-model/adapter_config.json
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"rank_pattern": {},
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"target_modules": [
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"v_proj",
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"k_proj",
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"task_type": "CAUSAL_LM",
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"task_type": "CAUSAL_LM",
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fine-tuned-model/adapter_model.safetensors
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fine-tuned-model/training_args.bin
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special_tokens_map.json
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{
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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"special": true
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"<|im_end|>"
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],
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"bos_token": null,
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"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"special": true
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"bos_token": "<s>",
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 2048,
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"pad_token": "</s>",
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"padding_side": "right",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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training_args.bin
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