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: 1.6577
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: 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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8775 | 0.07 | 20 | 1.8057 |
| 1.6849 | 0.14 | 40 | 1.7290 |
| 1.7874 | 0.21 | 60 | 1.6948 |
| 1.6804 | 0.28 | 80 | 1.6721 |
| 1.6905 | 0.35 | 100 | 1.6577 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.0
- Pytorch 2.2.0a0+81ea7a4
- Datasets 2.17.0
- Tokenizers 0.15.2
- Downloads last month
- 0
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no pipeline_tag.
Model tree for corrinac/mistral_instruct_generation
Base model
mistralai/Mistral-7B-v0.1
Finetuned
mistralai/Mistral-7B-Instruct-v0.1