envit5-base-iwslt15
This model is a fine-tuned version of VietAI/envit5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2687
- Bleu: 21.8184
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 2.0209 | 1.0 | 1250 | 1.7844 | 20.7717 |
| 1.5711 | 2.0 | 2500 | 1.7072 | 22.0149 |
| 1.2667 | 3.0 | 3750 | 1.7304 | 22.3730 |
| 1.0436 | 4.0 | 5000 | 1.7903 | 22.0901 |
| 0.8655 | 5.0 | 6250 | 1.8831 | 22.0823 |
| 0.7478 | 6.0 | 7500 | 1.9738 | 22.0309 |
| 0.6292 | 7.0 | 8750 | 2.0935 | 21.9696 |
| 0.5586 | 8.0 | 10000 | 2.1611 | 22.1045 |
| 0.5046 | 9.0 | 11250 | 2.2271 | 21.7866 |
| 0.4626 | 10.0 | 12500 | 2.2687 | 21.8184 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for Tohrumi/envit5-base-iwslt15
Base model
VietAI/envit5-base