bot_train_am_7
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5408
- Bleu: 33.1944
- Gen Len: 12.2599
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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.2203 | 1.0 | 984 | 1.7126 | 25.9506 | 12.0381 |
| 1.5778 | 2.0 | 1968 | 1.5978 | 28.5264 | 11.8927 |
| 1.3114 | 3.0 | 2952 | 1.5466 | 30.454 | 12.0183 |
| 1.1266 | 4.0 | 3936 | 1.5216 | 31.2974 | 12.1139 |
| 0.9856 | 5.0 | 4920 | 1.5155 | 31.7487 | 12.0509 |
| 0.8635 | 6.0 | 5904 | 1.5146 | 32.1394 | 12.1887 |
| 0.7871 | 7.0 | 6888 | 1.5223 | 32.7087 | 12.2431 |
| 0.7064 | 8.0 | 7872 | 1.5384 | 33.1917 | 12.1409 |
| 0.6409 | 9.0 | 8856 | 1.5408 | 33.1944 | 12.2599 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
Helsinki-NLP/opus-mt-ar-en