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movie_sentiment_trainer
This model is a fine-tuned version of Sonny4Sonnix/twitter-roberta-base-sentimental-analysis-of-covid-tweets on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6934
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7168 | 0.2 | 500 | 0.6982 |
| 0.7017 | 0.4 | 1000 | 0.6971 |
| 0.6995 | 0.6 | 1500 | 0.7128 |
| 0.7027 | 0.8 | 2000 | 0.7011 |
| 0.7046 | 1.0 | 2500 | 0.6937 |
| 0.698 | 1.2 | 3000 | 0.6938 |
| 0.6988 | 1.4 | 3500 | 0.6932 |
| 0.6972 | 1.6 | 4000 | 0.6935 |
| 0.698 | 1.8 | 4500 | 0.6940 |
| 0.6975 | 2.0 | 5000 | 0.6973 |
| 0.6977 | 2.2 | 5500 | 0.6932 |
| 0.6955 | 2.4 | 6000 | 0.6933 |
| 0.6952 | 2.6 | 6500 | 0.6932 |
| 0.6946 | 2.8 | 7000 | 0.6941 |
| 0.6944 | 3.0 | 7500 | 0.6934 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
