shawgpt-ft
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3342
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.166 | 0.8571 | 2 | 1.8674 |
| 1.9742 | 1.7143 | 4 | 1.6570 |
| 1.0968 | 3.0 | 7 | 1.4801 |
| 1.5132 | 3.8571 | 9 | 1.4258 |
| 1.5467 | 4.7143 | 11 | 1.4036 |
| 0.9373 | 6.0 | 14 | 1.3799 |
| 1.3694 | 6.8571 | 16 | 1.3661 |
| 1.4186 | 7.7143 | 18 | 1.3553 |
| 0.9313 | 9.0 | 21 | 1.3434 |
| 1.322 | 9.8571 | 23 | 1.3380 |
| 1.3808 | 10.7143 | 25 | 1.3350 |
| 0.8632 | 12.0 | 28 | 1.3342 |
| 1.1499 | 12.8571 | 30 | 1.3342 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
- Downloads last month
- 7
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no pipeline_tag.
Model tree for alekskusz/shawgpt-ft
Base model
mistralai/Mistral-7B-Instruct-v0.2
Quantized
TheBloke/Mistral-7B-Instruct-v0.2-GPTQ