Simple_Translation-model-for-GPT-v11
This model is a fine-tuned version of Dhahlan2000/Simple_Translation-model-for-GPT-v10 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4043
- Bleu: 13.2694
- Gen Len: 18.53
Model description
More information needed
Intended uses & limitations
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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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.5589 | 1.0 | 9282 | 0.4138 | 13.0522 | 18.532 |
| 0.5467 | 2.0 | 18564 | 0.4043 | 13.2694 | 18.53 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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