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: 3.2153
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 |
|---|---|---|---|
| 8.5479 | 0.7273 | 2 | 5.6143 |
| 5.2134 | 1.8182 | 5 | 4.9622 |
| 4.42 | 2.9091 | 8 | 4.1683 |
| 3.7165 | 4.0 | 11 | 3.7391 |
| 5.0148 | 4.7273 | 13 | 3.5272 |
| 3.0975 | 5.8182 | 16 | 3.3150 |
| 2.976 | 6.9091 | 19 | 3.2248 |
| 2.3761 | 7.2727 | 20 | 3.2153 |
Framework versions
- PEFT 0.13.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu124
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for Shanat/shawgpt-ft
Base model
mistralai/Mistral-7B-Instruct-v0.2
Quantized
TheBloke/Mistral-7B-Instruct-v0.2-GPTQ