metadata
base_model: mistralai/Mistral-7B-Instruct-v0.3
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Mistral-7B_task-3_180-samples_config-1
results: []
Mistral-7B_task-3_180-samples_config-1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8129
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- 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
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6703 | 1.0 | 17 | 1.2307 |
| 0.4798 | 2.0 | 34 | 0.4826 |
| 0.2974 | 3.0 | 51 | 0.4029 |
| 0.1789 | 4.0 | 68 | 0.3861 |
| 0.1247 | 5.0 | 85 | 0.4261 |
| 0.106 | 6.0 | 102 | 0.5086 |
| 0.0714 | 7.0 | 119 | 0.5980 |
| 0.0255 | 8.0 | 136 | 0.6408 |
| 0.0099 | 9.0 | 153 | 0.7028 |
| 0.0098 | 10.0 | 170 | 0.6469 |
| 0.0015 | 11.0 | 187 | 0.8129 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1