metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: mistral_instruct
results: []
mistral_instruct
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0892
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: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 2
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0643 | 0.17 | 100 | 1.1166 |
| 1.0302 | 0.34 | 200 | 1.1029 |
| 1.1972 | 0.51 | 300 | 1.0958 |
| 1.1332 | 0.68 | 400 | 1.0910 |
| 1.0084 | 0.85 | 500 | 1.0892 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2