metadata
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.3
model-index:
- name: results
results: []
results
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8456
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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0544 | 0.3608 | 500 | 0.9443 |
| 0.9332 | 0.7215 | 1000 | 0.8999 |
| 0.8875 | 1.0823 | 1500 | 0.8851 |
| 0.8301 | 1.4430 | 2000 | 0.8664 |
| 0.8179 | 1.8038 | 2500 | 0.8555 |
| 0.762 | 2.1645 | 3000 | 0.8671 |
| 0.7358 | 2.5253 | 3500 | 0.8592 |
| 0.7384 | 2.8860 | 4000 | 0.8456 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1