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--- |
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base_model: meta-llama/Llama-2-7b-chat-hf |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Llama_CN_pretrain |
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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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# Llama_CN_pretrain |
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5331 |
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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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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- training_steps: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.0225 | 0.03 | 10 | 3.1022 | |
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| 2.8635 | 0.05 | 20 | 2.7898 | |
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| 2.6242 | 0.08 | 30 | 2.7440 | |
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| 2.6995 | 0.1 | 40 | 2.6854 | |
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| 2.4791 | 0.13 | 50 | 2.6426 | |
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| 2.5932 | 0.15 | 60 | 2.5892 | |
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| 2.4885 | 0.18 | 70 | 2.5631 | |
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| 2.494 | 0.21 | 80 | 2.5508 | |
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| 2.4346 | 0.23 | 90 | 2.5361 | |
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| 2.4207 | 0.26 | 100 | 2.5331 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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