metadata
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
datasets:
- generator
model-index:
- name: Mistral_Sentiment_Classification_2024-04-03
results: []
Mistral_Sentiment_Classification_2024-04-03
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: 0.2962
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: 2.5e-05
- 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: linear
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4373 | 0.45 | 100 | 0.3295 |
| 0.3287 | 0.9 | 200 | 0.3143 |
| 0.3159 | 1.36 | 300 | 0.3080 |
| 0.3061 | 1.81 | 400 | 0.3027 |
| 0.3104 | 2.26 | 500 | 0.3004 |
| 0.2914 | 2.71 | 600 | 0.2972 |
| 0.2907 | 3.17 | 700 | 0.2973 |
| 0.2799 | 3.62 | 800 | 0.2951 |
| 0.265 | 4.07 | 900 | 0.2966 |
| 0.259 | 4.52 | 1000 | 0.2965 |
| 0.2723 | 4.98 | 1100 | 0.2962 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2