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m2m100_418M-finetuned-tq-to-ar-1-2
This model is a fine-tuned version of ad019el/m2m100_418M-finetuned-tq-to-ar-only-clean-data on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3123
- Bleu: 3.2398
- Gen Len: 39.2562
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: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.3145 | 0.68 | 500 | 2.2961 | 3.5196 | 39.7015 |
| 2.2469 | 1.36 | 1000 | 2.2789 | 3.1373 | 42.5945 |
| 2.1915 | 2.05 | 1500 | 2.3092 | 3.3981 | 41.4192 |
| 2.1358 | 2.73 | 2000 | 2.3077 | 3.2268 | 41.8321 |
| 2.0879 | 3.41 | 2500 | 2.3123 | 3.2398 | 39.2562 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
