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-2_120-samples_config-1_auto
results: []
Mistral-7B_task-2_120-samples_config-1_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: 0.8433
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 |
|---|---|---|---|
| 0.6963 | 1.0 | 11 | 0.6490 |
| 0.5011 | 2.0 | 22 | 0.5362 |
| 0.4292 | 3.0 | 33 | 0.4805 |
| 0.3757 | 4.0 | 44 | 0.4693 |
| 0.2815 | 5.0 | 55 | 0.4882 |
| 0.1492 | 6.0 | 66 | 0.5788 |
| 0.0722 | 7.0 | 77 | 0.7478 |
| 0.0484 | 8.0 | 88 | 0.7403 |
| 0.0365 | 9.0 | 99 | 0.8076 |
| 0.0191 | 10.0 | 110 | 0.8329 |
| 0.0134 | 11.0 | 121 | 0.8433 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1