sexed-mistral-7b-sft-lora
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.2681
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
- gradient_accumulation_steps: 128
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 20
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.5069 | 0.8380 | 4 | 0.4851 |
0.4188 | 1.8854 | 9 | 0.4025 |
0.3461 | 2.9329 | 14 | 0.3485 |
0.3204 | 3.9804 | 19 | 0.3211 |
0.3053 | 4.8183 | 23 | 0.3053 |
0.2914 | 5.8658 | 28 | 0.2923 |
0.2802 | 6.9133 | 33 | 0.2851 |
0.2733 | 7.9607 | 38 | 0.2795 |
0.273 | 8.7987 | 42 | 0.2762 |
0.2746 | 9.8462 | 47 | 0.2732 |
0.2673 | 10.8936 | 52 | 0.2709 |
0.2591 | 11.9411 | 57 | 0.2695 |
0.2602 | 12.9885 | 62 | 0.2686 |
0.26 | 13.8265 | 66 | 0.2683 |
0.2668 | 14.8740 | 71 | 0.2682 |
0.2598 | 15.9214 | 76 | 0.2681 |
0.26 | 16.7594 | 80 | 0.2681 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.1.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for ben-wycliff/sexed-mistral-7b-sft-lora
Base model
mistralai/Mistral-7B-v0.1