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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-cosmosqa-ptbr_text |
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results: [] |
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datasets: |
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- heloisy/cosmos_qa_ptbr_text |
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language: |
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- pt |
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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-cosmosqa-ptbr_text |
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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: 1.0951 |
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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: linear |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.4903 | 0.13 | 100 | 1.1563 | |
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| 1.1453 | 0.25 | 200 | 1.1254 | |
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| 1.1192 | 0.38 | 300 | 1.1149 | |
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| 1.109 | 0.51 | 400 | 1.1045 | |
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| 1.0927 | 0.63 | 500 | 1.1003 | |
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| 1.0883 | 0.76 | 600 | 1.0971 | |
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| 1.077 | 0.89 | 700 | 1.0955 | |
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| 1.0694 | 1.01 | 800 | 1.0934 | |
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| 1.0377 | 1.14 | 900 | 1.0958 | |
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| 1.03 | 1.27 | 1000 | 1.0951 | |
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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 |
