results0
This model is a fine-tuned version of t5-small on the wmt16 dataset. It achieves the following results on the evaluation set:
- Loss: 2.3777
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
3.3055 | 1.0 | 32 | 2.6602 |
3.1429 | 2.0 | 64 | 2.5321 |
3.0691 | 3.0 | 96 | 2.4767 |
3.0505 | 4.0 | 128 | 2.4447 |
2.9984 | 5.0 | 160 | 2.4181 |
2.9467 | 6.0 | 192 | 2.4014 |
2.9553 | 7.0 | 224 | 2.3902 |
2.9498 | 8.0 | 256 | 2.3836 |
2.8894 | 9.0 | 288 | 2.3790 |
2.9253 | 10.0 | 320 | 2.3777 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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