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---
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license: apache-2.0
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base_model: t5-base
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tags:
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- generated_from_keras_callback
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model-index:
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- name: RobCaamano/T5_En_to_Es_Take2
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# RobCaamano/T5_En_to_Es_Take2
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.5949
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- Validation Loss: 0.5687
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- Train Bleu: 18.1264
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- Train Gen Len: 53.5263
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- Epoch: 8
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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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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Train Bleu | Train Gen Len | Epoch |
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|:----------:|:---------------:|:----------:|:-------------:|:-----:|
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| 1.0171 | 0.7827 | 9.3294 | 57.7548 | 0 |
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| 0.8284 | 0.7058 | 12.1991 | 56.1406 | 1 |
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| 0.7588 | 0.6633 | 13.9507 | 55.3832 | 2 |
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| 0.7134 | 0.6363 | 15.0824 | 54.9393 | 3 |
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| 0.6799 | 0.6153 | 16.0321 | 54.3347 | 4 |
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| 0.6529 | 0.5995 | 16.6384 | 54.1043 | 5 |
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| 0.6308 | 0.5862 | 17.2840 | 53.9972 | 6 |
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| 0.6116 | 0.5753 | 17.6554 | 53.8169 | 7 |
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| 0.5949 | 0.5687 | 18.1264 | 53.5263 | 8 |
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### Framework versions
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- Transformers 4.35.2
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- TensorFlow 2.10.1
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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