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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: 1.3449
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: 0.00015
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.6041 | 0.9231 | 3 | 4.0265 |
| 4.1638 | 1.8462 | 6 | 3.6005 |
| 3.6673 | 2.7692 | 9 | 3.1980 |
| 2.4141 | 4.0 | 13 | 2.7386 |
| 2.8477 | 4.9231 | 16 | 2.4608 |
| 2.4935 | 5.8462 | 19 | 2.2101 |
| 2.1854 | 6.7692 | 22 | 1.9968 |
| 1.4482 | 8.0 | 26 | 1.7341 |
| 1.7153 | 8.9231 | 29 | 1.6110 |
| 1.5533 | 9.8462 | 32 | 1.5225 |
| 1.496 | 10.7692 | 35 | 1.4710 |
| 1.0532 | 12.0 | 39 | 1.4317 |
| 1.394 | 12.9231 | 42 | 1.4079 |
| 1.3338 | 13.8462 | 45 | 1.3799 |
| 1.3201 | 14.7692 | 48 | 1.3639 |
| 0.9838 | 16.0 | 52 | 1.3533 |
| 1.2802 | 16.9231 | 55 | 1.3484 |
| 1.2627 | 17.8462 | 58 | 1.3456 |
| 0.8898 | 18.4615 | 60 | 1.3449 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.2
- Tokenizers 0.19.1
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Model tree for irenewds/shawgpt-ft
Base model
mistralai/Mistral-7B-Instruct-v0.2
Quantized
TheBloke/Mistral-7B-Instruct-v0.2-GPTQ