metadata
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.1
model-index:
- name: finetune-mistral-cleaner-v2
results: []
finetune-mistral-cleaner-v2
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7539
Model description
A Mistral model finetuned for cleaning web source.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-07
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9886 | 0.13 | 20 | 1.7551 |
| 1.7559 | 0.27 | 40 | 1.7549 |
| 2.0012 | 0.4 | 60 | 1.7547 |
| 1.6501 | 0.53 | 80 | 1.7545 |
| 1.8329 | 0.67 | 100 | 1.7543 |
| 1.9872 | 0.8 | 120 | 1.7541 |
| 1.7711 | 0.93 | 140 | 1.7539 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.1
- Datasets 2.16.1
- Tokenizers 0.15.0