metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: Mistral-7B-v0.1-lora-text-classification
results: []
Mistral-7B-v0.1-lora-text-classification
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.6942
- Accuracy: {'accuracy': 0.50984}
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: 0.001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5482 | 1.0 | 12500 | 1.3653 | {'accuracy': 0.58188} |
| 0.7082 | 2.0 | 25000 | 0.6882 | {'accuracy': 0.55924} |
| 0.7127 | 3.0 | 37500 | 0.6934 | {'accuracy': 0.50536} |
| 0.6993 | 4.0 | 50000 | 0.6948 | {'accuracy': 0.5022} |
| 0.693 | 5.0 | 62500 | 0.6942 | {'accuracy': 0.50984} |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0