Chitti-Base-model-for-GPT-v8
This model is a fine-tuned version of Dhahlan2000/Chitti-Base-model-for-GPT-v7 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9673
- Bleu: 3.6022
- Gen Len: 12.524
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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.1567 | 1.0 | 9282 | 2.9746 | 3.6582 | 12.4893 |
| 3.1552 | 2.0 | 18564 | 2.9673 | 3.6022 | 12.524 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Downloads last month
- 6
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.