Modelo entrenado con reseñas de Amazon
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README.md
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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- Bleu:
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- Gen Len:
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## Model description
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step
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|:-------------:|:-----:|:----
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| 2.
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| 2.3899 | 3.0 | 5625 | 2.2838 | 4.0933 | 8.526 |
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| 2.2805 | 4.0 | 7500 | 2.2567 | 3.8025 | 8.6367 |
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| 2.2141 | 5.0 | 9375 | 2.2480 | 3.8739 | 8.7533 |
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| 2.2243 | 6.0 | 11250 | 2.2475 | 3.9802 | 8.7247 |
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### Framework versions
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6291
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- Bleu: 2.7651
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- Gen Len: 9.814
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## Model description
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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| 3.0026 | 1.0 | 625 | 2.6722 | 3.5767 | 9.624 |
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| 2.7396 | 2.0 | 1250 | 2.6291 | 2.7651 | 9.814 |
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### Framework versions
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