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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: 1.3064
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 12
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6686 | 1.0 | 13 | 2.8302 |
| 2.3256 | 2.0 | 26 | 1.6927 |
| 1.3394 | 3.0 | 39 | 1.3108 |
| 1.1095 | 4.0 | 52 | 1.2532 |
| 1.0687 | 5.0 | 65 | 1.2385 |
| 0.9773 | 6.0 | 78 | 1.2419 |
| 0.9038 | 7.0 | 91 | 1.2381 |
| 0.883 | 8.0 | 104 | 1.2653 |
| 0.8353 | 9.0 | 117 | 1.2638 |
| 0.7847 | 10.0 | 130 | 1.2803 |
| 0.7793 | 11.0 | 143 | 1.3103 |
| 0.7277 | 12.0 | 156 | 1.3064 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for lukasgrouleff/shawgpt-ft
Base model
mistralai/Mistral-7B-Instruct-v0.2
Quantized
TheBloke/Mistral-7B-Instruct-v0.2-GPTQ