shawgpt-ft
This model is a fine-tuned version of MBZUAI/LaMini-GPT-774M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4635
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5991 | 1.0 | 5 | 3.4306 |
| 3.3522 | 2.0 | 10 | 3.0302 |
| 2.9388 | 3.0 | 15 | 2.6452 |
| 2.621 | 4.0 | 20 | 2.3555 |
| 2.3501 | 5.0 | 25 | 2.1047 |
| 2.1243 | 6.0 | 30 | 1.8846 |
| 1.9309 | 7.0 | 35 | 1.6957 |
| 1.7786 | 8.0 | 40 | 1.5726 |
| 1.6718 | 9.0 | 45 | 1.4961 |
| 1.6283 | 10.0 | 50 | 1.4635 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for OpOp1/shawgpt-ft
Base model
MBZUAI/LaMini-GPT-774M