Chitti-Large-model-for-GPT-v11
This model is a fine-tuned version of Dhahlan2000/Chitti-Base-model-for-GPT-v10 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8143
- Bleu: 5.3746
- Gen Len: 12.2533
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: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.0362 | 1.0 | 9282 | 2.8427 | 4.9768 | 12.194 |
| 3.0372 | 2.0 | 18564 | 2.8305 | 5.2045 | 12.3033 |
| 3.0038 | 3.0 | 27846 | 2.8253 | 5.2307 | 12.268 |
| 2.9933 | 4.0 | 37128 | 2.8188 | 5.4433 | 12.3027 |
| 2.9947 | 5.0 | 46410 | 2.8139 | 5.3825 | 12.2993 |
| 2.9752 | 6.0 | 55692 | 2.8143 | 5.3746 | 12.2533 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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