albert-xxlarge-v2-disaster-twitter-v2
This model is a fine-tuned version of albert-xxlarge-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3921
- F1: 0.7893
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: 32
- eval_batch_size: 32
- 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 | F1 |
|---|---|---|---|---|
| No log | 1.0 | 191 | 0.3930 | 0.7906 |
| No log | 2.0 | 382 | 0.6283 | 0.6569 |
| 0.4945 | 3.0 | 573 | 0.3921 | 0.7893 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
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Base model
albert/albert-xxlarge-v2