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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: 1.3217 |
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- Bleu: 7.3648 |
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- Gen Len: 17.5145 |
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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: 8 |
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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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| 1.542 | 1.0 | 6355 | 1.3460 | 7.1462 | 17.5281 | |
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| 1.5196 | 2.0 | 12710 | 1.3419 | 7.2241 | 17.5219 | |
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| 1.5005 | 3.0 | 19065 | 1.3346 | 7.3005 | 17.5137 | |
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| 1.5083 | 4.0 | 25420 | 1.3298 | 7.3326 | 17.5174 | |
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| 1.4999 | 5.0 | 31775 | 1.3269 | 7.3337 | 17.5214 | |
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| 1.4906 | 6.0 | 38130 | 1.3237 | 7.3359 | 17.5185 | |
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| 1.4944 | 7.0 | 44485 | 1.3223 | 7.3664 | 17.5161 | |
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| 1.5018 | 8.0 | 50840 | 1.3217 | 7.3648 | 17.5145 | |
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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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