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_2024-05-17
results: []
Mistral_Sentiment_Classification_2024-05-17
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: 0.3003
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 |
|---|---|---|---|
| 0.4299 | 0.4587 | 100 | 0.3342 |
| 0.3351 | 0.9174 | 200 | 0.3189 |
| 0.3218 | 1.3761 | 300 | 0.3112 |
| 0.3164 | 1.8349 | 400 | 0.3067 |
| 0.3021 | 2.2936 | 500 | 0.3035 |
| 0.2892 | 2.7523 | 600 | 0.3006 |
| 0.2825 | 3.2110 | 700 | 0.3010 |
| 0.2719 | 3.6697 | 800 | 0.2994 |
| 0.2807 | 4.1284 | 900 | 0.3002 |
| 0.2622 | 4.5872 | 1000 | 0.3003 |
Framework versions
- PEFT 0.11.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1