metadata
license: apache-2.0
base_model: LiYuan/amazon-review-sentiment-analysis
tags:
- generated_from_trainer
model-index:
- name: FineTuned_NewAmazonReview
results: []
FineTuned_NewAmazonReview
This model is a fine-tuned version of LiYuan/amazon-review-sentiment-analysis on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9763
- Accuracy: 0.67
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5281 | 0.1 | 500 | 1.4426 |
| 1.3849 | 0.2 | 1000 | 1.3289 |
| 1.2785 | 0.3 | 1500 | 1.2364 |
| 1.2415 | 0.4 | 2000 | 1.2403 |
| 1.2113 | 0.5 | 2500 | 1.1924 |
| 1.1661 | 0.6 | 3000 | 1.2096 |
| 1.1283 | 0.7 | 3500 | 1.1103 |
| 1.1176 | 0.8 | 4000 | 1.0909 |
| 1.1048 | 0.9 | 4500 | 1.0933 |
| 1.0746 | 1.0 | 5000 | 1.0432 |
| 0.9869 | 1.1 | 5500 | 1.1254 |
| 0.9895 | 1.2 | 6000 | 1.0309 |
| 0.987 | 1.3 | 6500 | 1.0326 |
| 0.9618 | 1.4 | 7000 | 1.0184 |
| 0.9626 | 1.5 | 7500 | 1.0095 |
| 0.964 | 1.6 | 8000 | 1.0016 |
| 0.9484 | 1.7 | 8500 | 0.9964 |
| 0.9395 | 1.8 | 9000 | 0.9933 |
| 0.9247 | 1.9 | 9500 | 0.9849 |
| 0.9402 | 2.0 | 10000 | 0.9763 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0