metadata
license: apache-2.0
base_model: LiYuan/amazon-review-sentiment-analysis
tags:
- generated_from_trainer
model-index:
- name: FineTuned_NewAmazonReview2
results: []
FineTuned_NewAmazonReview2
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: 0.8358
- Accuracy: 0.76
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 |
---|---|---|---|
1.0138 | 0.1 | 500 | 1.0133 |
0.9798 | 0.2 | 1000 | 0.9427 |
0.9808 | 0.3 | 1500 | 0.9525 |
0.927 | 0.4 | 2000 | 0.9319 |
0.9201 | 0.5 | 2500 | 0.9614 |
0.933 | 0.6 | 3000 | 0.9032 |
0.911 | 0.7 | 3500 | 0.8853 |
0.8831 | 0.8 | 4000 | 0.8803 |
0.8778 | 0.9 | 4500 | 0.8814 |
0.8954 | 1.0 | 5000 | 0.8509 |
0.7525 | 1.1 | 5500 | 0.8722 |
0.7518 | 1.2 | 6000 | 0.8817 |
0.7552 | 1.3 | 6500 | 0.8613 |
0.7508 | 1.4 | 7000 | 0.8773 |
0.7389 | 1.5 | 7500 | 0.8524 |
0.7233 | 1.6 | 8000 | 0.8492 |
0.7315 | 1.7 | 8500 | 0.8498 |
0.7213 | 1.8 | 9000 | 0.8394 |
0.711 | 1.9 | 9500 | 0.8351 |
0.7109 | 2.0 | 10000 | 0.8358 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0