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_120-samples_config-1_full
results: []
Mistral-7B_task-3_120-samples_config-1_full
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: 1.1179
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 |
|---|---|---|---|
| 1.1682 | 1.0 | 11 | 1.1587 |
| 0.9812 | 2.0 | 22 | 1.0306 |
| 0.8834 | 3.0 | 33 | 0.9015 |
| 0.8826 | 4.0 | 44 | 0.8727 |
| 0.8207 | 5.0 | 55 | 0.8608 |
| 0.7611 | 6.0 | 66 | 0.8610 |
| 0.6922 | 7.0 | 77 | 0.8744 |
| 0.6264 | 8.0 | 88 | 0.9150 |
| 0.4961 | 9.0 | 99 | 0.9764 |
| 0.3722 | 10.0 | 110 | 1.0251 |
| 0.3418 | 11.0 | 121 | 1.1046 |
| 0.2556 | 12.0 | 132 | 1.1179 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1