metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.1
tags:
- generated_from_trainer
model-index:
- name: radia-fine-tune-mistral-7b-lora-v2
results: []
radia-fine-tune-mistral-7b-lora-v2
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5165
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0388 | 0.09 | 5 | 0.7940 |
| 0.8312 | 0.17 | 10 | 0.7249 |
| 0.6977 | 0.26 | 15 | 0.6799 |
| 0.6852 | 0.34 | 20 | 0.6458 |
| 0.6458 | 0.43 | 25 | 0.6152 |
| 0.6263 | 0.52 | 30 | 0.5930 |
| 0.5636 | 0.6 | 35 | 0.5717 |
| 0.573 | 0.69 | 40 | 0.5538 |
| 0.5467 | 0.78 | 45 | 0.5382 |
| 0.5212 | 0.86 | 50 | 0.5277 |
| 0.4598 | 0.95 | 55 | 0.5165 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0