mistral_instruct_generation
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.0225
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: 2.5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1172 | 1.54 | 20 | 1.9621 |
| 1.7921 | 3.08 | 40 | 1.6326 |
| 1.468 | 4.62 | 60 | 1.3290 |
| 1.2425 | 6.15 | 80 | 1.1762 |
| 1.1558 | 7.69 | 100 | 1.1167 |
| 1.0912 | 9.23 | 120 | 1.0837 |
| 1.0749 | 10.77 | 140 | 1.0632 |
| 1.0534 | 12.31 | 160 | 1.0472 |
| 1.0213 | 13.85 | 180 | 1.0332 |
| 0.9962 | 15.38 | 200 | 1.0225 |
Framework versions
- PEFT 0.7.1
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for Crackerjax2/mistral_instruct_generation
Base model
mistralai/Mistral-7B-v0.1
Finetuned
mistralai/Mistral-7B-Instruct-v0.1