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README.md
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---
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license: apache-2.0
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base_model: t5-small
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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: t5_small_en-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: en-pt
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split: train
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args: en-pt
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metrics:
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- name: Bleu
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type: bleu
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value: 0.6943
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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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# t5_small_en-pt
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus_books dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.2437
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- Bleu: 0.6943
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- Gen Len: 17.5979
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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: 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: 5
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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 | 71 | 3.5876 | 0.4555 | 16.9395 |
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| No log | 2.0 | 142 | 3.4062 | 0.5386 | 17.3025 |
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| No log | 3.0 | 213 | 3.3092 | 0.553 | 17.5445 |
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| No log | 4.0 | 284 | 3.2596 | 0.6296 | 17.6157 |
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| No log | 5.0 | 355 | 3.2437 | 0.6943 | 17.5979 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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