mistral-7b-sft-lora-ha-v0.3_cleaned
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.0950
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9176 | 1.0 | 48 | 1.3600 |
| 1.2058 | 2.0 | 96 | 1.1674 |
| 1.1141 | 3.0 | 144 | 1.1143 |
| 1.0792 | 4.0 | 192 | 1.0958 |
| 1.0715 | 5.0 | 240 | 1.0950 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Downloads last month
- 7
Unable to determine this model’s pipeline type. Check the
docs
.