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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- opus_books |
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model-index: |
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- name: mt5-small-finetuned-8epochs-opus_books-en-to-it |
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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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# mt5-small-finetuned-8epochs-opus_books-en-to-it |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the opus_books dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7220 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 4.1572 | 1.0 | 3638 | 3.1652 | |
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| 3.7846 | 2.0 | 7276 | 2.9708 | |
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| 3.6056 | 3.0 | 10914 | 2.8673 | |
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| 3.4722 | 4.0 | 14552 | 2.8067 | |
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| 3.4006 | 5.0 | 18190 | 2.7665 | |
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| 3.344 | 6.0 | 21828 | 2.7414 | |
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| 3.3131 | 7.0 | 25466 | 2.7268 | |
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| 3.3251 | 8.0 | 29104 | 2.7220 | |
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### Framework versions |
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- Transformers 4.23.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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