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--- |
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license: mit |
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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: HuggingFaceH4/zephyr-7b-beta |
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model-index: |
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- name: zephyr-7b-b-cosmosqa-ptbr-text-v3 |
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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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# zephyr-7b-b-cosmosqa-ptbr-text-v3 |
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0961 |
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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: 4e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.4897 | 0.13 | 100 | 1.1561 | |
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| 1.1452 | 0.25 | 200 | 1.1251 | |
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| 1.1185 | 0.38 | 300 | 1.1146 | |
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| 1.1079 | 0.51 | 400 | 1.1038 | |
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| 1.0906 | 0.63 | 500 | 1.0998 | |
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| 1.0849 | 0.76 | 600 | 1.0967 | |
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| 1.0721 | 0.89 | 700 | 1.0959 | |
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| 1.0623 | 1.01 | 800 | 1.0941 | |
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| 1.0217 | 1.14 | 900 | 1.0987 | |
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| 1.0122 | 1.27 | 1000 | 1.0977 | |
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| 1.0095 | 1.39 | 1100 | 1.0980 | |
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| 1.0088 | 1.52 | 1200 | 1.0966 | |
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| 0.9952 | 1.65 | 1300 | 1.0964 | |
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| 1.0018 | 1.77 | 1400 | 1.0967 | |
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| 0.9991 | 1.9 | 1500 | 1.0961 | |
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### Framework versions |
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- PEFT 0.7.1.dev0 |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.7 |
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- Tokenizers 0.15.0 |