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--- |
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library_name: peft |
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license: other |
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base_model: NousResearch/Meta-Llama-3-8B-Alternate-Tokenizer |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: root/workspace/outputs/9/c78b946e-a65b-41ea-9a2b-cbb0c4234e12 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# root/workspace/outputs/9/c78b946e-a65b-41ea-9a2b-cbb0c4234e12 |
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This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B-Alternate-Tokenizer](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Alternate-Tokenizer) on the /root/workspace/input_data/8e5bb7bd2a44af4c_train_data.json dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0082 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |