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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: Mat17892/t5small_enfr_opus |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: t5small_enfr_opus |
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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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# t5small_enfr_opus |
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This model is a fine-tuned version of [Mat17892/t5small_enfr_opus](https://huggingface.co/Mat17892/t5small_enfr_opus) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4839 |
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- Bleu: 6.4 |
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- Gen Len: 17.5697 |
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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: 2e-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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- optimizer: Use adamw_torch 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: 4 |
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- mixed_precision_training: Native AMP |
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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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| 1.7415 | 1.0 | 6355 | 1.5201 | 6.1792 | 17.5724 | |
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| 1.6892 | 2.0 | 12710 | 1.4981 | 6.2914 | 17.572 | |
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| 1.6825 | 3.0 | 19065 | 1.4873 | 6.3889 | 17.5701 | |
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| 1.6803 | 4.0 | 25420 | 1.4839 | 6.4 | 17.5697 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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