metadata
base_model: mistralai/Mistral-7B-Instruct-v0.2
datasets:
- generator
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: news-summarization-finetuned-mistral-7b
results: []
news-summarization-finetuned-mistral-7b
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.0218
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0762 | 0.0184 | 20 | 2.1013 |
| 2.0289 | 0.0368 | 40 | 2.0588 |
| 1.9974 | 0.0551 | 60 | 2.0262 |
| 2.0516 | 0.0735 | 80 | 2.0203 |
| 1.9775 | 0.0919 | 100 | 2.0218 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.16.0
- Tokenizers 0.19.1