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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_trainer |
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datasets: |
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- opus_books |
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metrics: |
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- bleu |
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model-index: |
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- name: opus_books_es_pt |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: opus_books |
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type: opus_books |
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config: es-pt |
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split: train |
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args: es-pt |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 1.2169 |
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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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# opus_books_es_pt |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the opus_books dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0763 |
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- Bleu: 1.2169 |
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- Gen Len: 18.5038 |
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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: 20 |
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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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| No log | 1.0 | 133 | 2.5227 | 0.5795 | 18.5789 | |
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| No log | 2.0 | 266 | 2.3918 | 0.6703 | 18.5451 | |
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| No log | 3.0 | 399 | 2.3166 | 0.8471 | 18.5301 | |
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| 2.6664 | 4.0 | 532 | 2.2665 | 0.8914 | 18.4737 | |
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| 2.6664 | 5.0 | 665 | 2.2319 | 0.928 | 18.4549 | |
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| 2.6664 | 6.0 | 798 | 2.2025 | 1.0067 | 18.5113 | |
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| 2.6664 | 7.0 | 931 | 2.1784 | 1.0162 | 18.515 | |
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| 2.2503 | 8.0 | 1064 | 2.1580 | 1.1102 | 18.5113 | |
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| 2.2503 | 9.0 | 1197 | 2.1420 | 1.0638 | 18.515 | |
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| 2.2503 | 10.0 | 1330 | 2.1257 | 1.1149 | 18.5113 | |
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| 2.2503 | 11.0 | 1463 | 2.1142 | 1.1334 | 18.4474 | |
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| 2.1172 | 12.0 | 1596 | 2.1091 | 1.1308 | 18.4925 | |
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| 2.1172 | 13.0 | 1729 | 2.0980 | 1.1655 | 18.5075 | |
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| 2.1172 | 14.0 | 1862 | 2.0950 | 1.1464 | 18.4925 | |
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| 2.1172 | 15.0 | 1995 | 2.0890 | 1.1383 | 18.5038 | |
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| 2.0185 | 16.0 | 2128 | 2.0833 | 1.1671 | 18.5 | |
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| 2.0185 | 17.0 | 2261 | 2.0806 | 1.1555 | 18.5038 | |
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| 2.0185 | 18.0 | 2394 | 2.0777 | 1.15 | 18.5113 | |
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| 1.9882 | 19.0 | 2527 | 2.0770 | 1.2252 | 18.5113 | |
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| 1.9882 | 20.0 | 2660 | 2.0763 | 1.2169 | 18.5038 | |
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### Framework versions |
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- Transformers 4.36.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.0 |
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