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--- |
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license: mit |
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base_model: tiagoblima/gun-nlth-scratch |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: t2t-gun-nlth-from-stratch |
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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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# t2t-gun-nlth-from-stratch |
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This model is a fine-tuned version of [tiagoblima/gun-nlth-scratch](https://huggingface.co/tiagoblima/gun-nlth-scratch) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.1127 |
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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: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 5.1577 | 0.55 | 4000 | 5.0400 | |
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| 4.6387 | 1.1 | 8000 | 4.6219 | |
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| 4.3818 | 1.65 | 12000 | 4.3636 | |
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| 4.1054 | 2.2 | 16000 | 4.2018 | |
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| 4.0162 | 2.74 | 20000 | 4.1127 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.1 |
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