flant5_offensive_german_english
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0010
- Precision: 0.6546
- Recall: 0.6165
- F1: 0.6350
- Total Predictions: 3532
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: 4
- eval_batch_size: 4
- 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 | Precision | Recall | F1 | Total Predictions |
|---|---|---|---|---|---|---|---|
| 0.3456 | 1.0 | 3755 | 0.0011 | 0.5901 | 0.6023 | 0.5961 | 3532 |
| 0.0395 | 2.0 | 7510 | 0.0010 | 0.6143 | 0.6439 | 0.6288 | 3532 |
| 0.0349 | 3.0 | 11265 | 0.0010 | 0.6915 | 0.5092 | 0.5865 | 3532 |
| 0.032 | 4.0 | 15020 | 0.0011 | 0.6549 | 0.5998 | 0.6261 | 3532 |
| 0.0302 | 5.0 | 18775 | 0.0010 | 0.6546 | 0.6165 | 0.6350 | 3532 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.0.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google/flan-t5-base