shawgpt-ft-ep15
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: 1.3518
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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.5894 | 0.9231 | 3 | 3.9527 |
| 4.021 | 1.8462 | 6 | 3.4079 |
| 3.4132 | 2.7692 | 9 | 2.9250 |
| 2.1821 | 4.0 | 13 | 2.4441 |
| 2.5042 | 4.9231 | 16 | 2.1451 |
| 2.1188 | 5.8462 | 19 | 1.9049 |
| 1.809 | 6.7692 | 22 | 1.7035 |
| 1.2231 | 8.0 | 26 | 1.5172 |
| 1.4806 | 8.9231 | 29 | 1.4370 |
| 1.3824 | 9.8462 | 32 | 1.3996 |
| 1.3753 | 10.7692 | 35 | 1.3777 |
| 0.9838 | 12.0 | 39 | 1.3607 |
| 1.3236 | 12.9231 | 42 | 1.3543 |
| 1.0984 | 13.8462 | 45 | 1.3518 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
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Model tree for GabrielG228/shawgpt-ft-ep15
Base model
mistralai/Mistral-7B-Instruct-v0.2
Quantized
TheBloke/Mistral-7B-Instruct-v0.2-GPTQ