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--- |
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license: llama2 |
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base_model: Xwin-LM/Xwin-LM-13B-V0.2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Yi_fans |
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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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# Yi_fans |
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This model is a fine-tuned version of [Xwin-LM/Xwin-LM-13B-V0.2](https://huggingface.co/Xwin-LM/Xwin-LM-13B-V0.2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0715 |
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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: 0.0004 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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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- lr_scheduler_warmup_steps: 2 |
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- training_steps: 120 |
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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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| 2.7447 | 0.02 | 10 | 2.3455 | |
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| 1.9979 | 0.04 | 20 | 1.9817 | |
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| 1.6621 | 0.07 | 30 | 1.4316 | |
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| 1.3525 | 0.09 | 40 | 1.3135 | |
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| 1.312 | 0.11 | 50 | 1.2386 | |
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| 1.243 | 0.13 | 60 | 1.1874 | |
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| 1.084 | 0.15 | 70 | 1.1472 | |
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| 1.1409 | 0.17 | 80 | 1.1229 | |
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| 1.1093 | 0.2 | 90 | 1.1000 | |
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| 1.0783 | 0.22 | 100 | 1.0889 | |
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| 1.0253 | 0.24 | 110 | 1.0776 | |
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| 1.1132 | 0.26 | 120 | 1.0715 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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