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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: hfl/chinese-alpaca-2-7b |
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model-index: |
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- name: coinplusfire_chinese-alpaca-2-7b_full |
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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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# coinplusfire_chinese-alpaca-2-7b_full |
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This model is a fine-tuned version of [hfl/chinese-alpaca-2-7b](https://huggingface.co/hfl/chinese-alpaca-2-7b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5419 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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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- lr_scheduler_warmup_steps: 2 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.3117 | 1.0 | 207 | 1.9098 | |
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| 1.878 | 2.0 | 414 | 1.7665 | |
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| 1.7555 | 3.0 | 621 | 1.6904 | |
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| 1.6743 | 4.0 | 828 | 1.6407 | |
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| 1.6157 | 5.0 | 1035 | 1.6056 | |
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| 1.5661 | 6.0 | 1242 | 1.5841 | |
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| 1.5265 | 7.0 | 1449 | 1.5642 | |
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| 1.495 | 8.0 | 1656 | 1.5487 | |
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| 1.4711 | 9.0 | 1863 | 1.5431 | |
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| 1.4542 | 10.0 | 2070 | 1.5419 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.39.3 |
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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 |
