buffettgpt-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: 1.2554
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 |
---|---|---|---|
1.828 | 1.0 | 66 | 1.2278 |
1.0948 | 2.0 | 132 | 1.0691 |
0.9567 | 3.0 | 198 | 1.0193 |
0.8749 | 4.0 | 264 | 0.9978 |
0.8046 | 5.0 | 330 | 0.9876 |
0.7429 | 6.0 | 396 | 0.9978 |
0.6911 | 7.0 | 462 | 1.0185 |
0.6456 | 8.0 | 528 | 1.0300 |
0.6068 | 9.0 | 594 | 1.0749 |
0.5747 | 10.0 | 660 | 1.1074 |
0.5475 | 11.0 | 726 | 1.1306 |
0.5258 | 12.0 | 792 | 1.1687 |
0.505 | 13.0 | 858 | 1.2040 |
0.4917 | 14.0 | 924 | 1.2410 |
0.4829 | 15.0 | 990 | 1.2554 |
Framework versions
- PEFT 0.11.1
- Transformers 4.39.3
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for oumaima12/buffettgpt-ft
Base model
mistralai/Mistral-7B-Instruct-v0.2
Quantized
TheBloke/Mistral-7B-Instruct-v0.2-GPTQ