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heloisy/zephyr-7b-beta-cosmosqa-ptbr-text-v3

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README.md ADDED
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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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+
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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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+
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+ # zephyr-7b-b-cosmosqa-ptbr-text-v3
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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
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