shawgpt-ft-epoch20
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: 1.3738
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: 20
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
4.6183 | 0.9231 | 3 | 4.0898 |
4.2697 | 1.8462 | 6 | 3.7187 |
3.8116 | 2.7692 | 9 | 3.3358 |
2.5344 | 4.0 | 13 | 2.8801 |
3.0199 | 4.9231 | 16 | 2.6124 |
2.6926 | 5.8462 | 19 | 2.3845 |
2.4042 | 6.7692 | 22 | 2.1734 |
1.6092 | 8.0 | 26 | 1.8884 |
1.8915 | 8.9231 | 29 | 1.7507 |
1.7133 | 9.8462 | 32 | 1.6384 |
1.607 | 10.7692 | 35 | 1.5362 |
1.1015 | 12.0 | 39 | 1.4586 |
1.4428 | 12.9231 | 42 | 1.4286 |
1.3842 | 13.8462 | 45 | 1.4070 |
1.3787 | 14.7692 | 48 | 1.3934 |
1.0289 | 16.0 | 52 | 1.3819 |
1.3426 | 16.9231 | 55 | 1.3771 |
1.3259 | 17.8462 | 58 | 1.3744 |
0.935 | 18.4615 | 60 | 1.3738 |
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 FrederikKlinkby/shawgpt-ft-epoch20
Base model
mistralai/Mistral-7B-Instruct-v0.2
Quantized
TheBloke/Mistral-7B-Instruct-v0.2-GPTQ