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mt5-base-finetuned-ar-to-en
This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 0.0111
- Gen Len: 6.732
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 163.1788 | 1.0 | 816 | nan | 0.0111 | 6.732 |
| 1.1396 | 2.0 | 1632 | nan | 0.0111 | 6.732 |
| 0.0381 | 3.0 | 2448 | nan | 0.0111 | 6.732 |
| 0.0 | 4.0 | 3264 | nan | 0.0111 | 6.732 |
| 155.5697 | 5.0 | 4080 | nan | 0.0111 | 6.732 |
| 74.9948 | 6.0 | 4896 | nan | 0.0111 | 6.732 |
| 0.116 | 6.13 | 5000 | nan | 0.0111 | 6.732 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
