Chitti-Large-model-for-GPT-v12
This model is a fine-tuned version of Dhahlan2000/Chitti-Base-model-for-GPT-v11 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6474
- Bleu: 0.0
- Gen Len: 2.9375
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 |
|---|---|---|---|---|---|
| No log | 1.0 | 98 | 2.8825 | 0.0 | 2.9375 |
| No log | 2.0 | 196 | 2.7710 | 0.0 | 3.0 |
| No log | 3.0 | 294 | 2.6990 | 0.0 | 2.875 |
| No log | 4.0 | 392 | 2.6685 | 0.0 | 2.9375 |
| No log | 5.0 | 490 | 2.6490 | 0.0 | 2.9375 |
| 3.4263 | 6.0 | 588 | 2.6474 | 0.0 | 2.9375 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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