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distilbert-base-cased-finetuned-tweeteval
This model is a fine-tuned version of distilbert-base-cased on the tweet_eval dataset. It achieves the following results on the evaluation set:
- Loss: 0.7720
- Accuracy: 0.7888
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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 204 | 0.6867 | 0.7647 |
No log | 2.0 | 408 | 0.6318 | 0.7968 |
0.6397 | 3.0 | 612 | 0.6931 | 0.7834 |
0.6397 | 4.0 | 816 | 0.7631 | 0.7754 |
0.2064 | 5.0 | 1020 | 0.7720 | 0.7888 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3