metadata
license: apache-2.0
base_model: distilbert-base-uncased-finetuned-sst-2-english
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: twitter_distilbert_sentiment_model
results: []
twitter_distilbert_sentiment_model
This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3731
- Accuracy: 0.7445
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6506 | 0.2 | 100 | 0.5897 | 0.4885 |
| 0.5579 | 0.4 | 200 | 0.5109 | 0.669 |
| 0.475 | 0.6 | 300 | 0.4178 | 0.724 |
| 0.4342 | 0.8 | 400 | 0.4080 | 0.7125 |
| 0.4214 | 1.0 | 500 | 0.3867 | 0.736 |
| 0.4048 | 1.2 | 600 | 0.3910 | 0.7365 |
| 0.3791 | 1.4 | 700 | 0.3858 | 0.7405 |
| 0.3793 | 1.6 | 800 | 0.3779 | 0.745 |
| 0.3752 | 1.8 | 900 | 0.3722 | 0.7445 |
| 0.3422 | 2.0 | 1000 | 0.3731 | 0.7445 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1