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_auto
results: []
Mistral-7B_task-3_120-samples_config-1_full_auto
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: 1.1191
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 |
|---|---|---|---|
| 1.1614 | 1.0 | 11 | 1.1416 |
| 0.9734 | 2.0 | 22 | 1.0178 |
| 0.8716 | 3.0 | 33 | 0.8912 |
| 0.8725 | 4.0 | 44 | 0.8626 |
| 0.8125 | 5.0 | 55 | 0.8507 |
| 0.7541 | 6.0 | 66 | 0.8533 |
| 0.6871 | 7.0 | 77 | 0.8667 |
| 0.6206 | 8.0 | 88 | 0.9129 |
| 0.4919 | 9.0 | 99 | 0.9647 |
| 0.381 | 10.0 | 110 | 1.0133 |
| 0.3491 | 11.0 | 121 | 1.0941 |
| 0.2613 | 12.0 | 132 | 1.1191 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1