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racism-finetuned-detests-02-11-2022
This model is a fine-tuned version of davidmasip/racism on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8819
- F1: 0.6199
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.3032 | 0.64 | 25 | 0.3482 | 0.6434 |
| 0.1132 | 1.28 | 50 | 0.3707 | 0.6218 |
| 0.1253 | 1.92 | 75 | 0.4004 | 0.6286 |
| 0.0064 | 2.56 | 100 | 0.6223 | 0.6254 |
| 0.0007 | 3.21 | 125 | 0.7347 | 0.6032 |
| 0.0006 | 3.85 | 150 | 0.7705 | 0.6312 |
| 0.0004 | 4.49 | 175 | 0.7988 | 0.6304 |
| 0.0003 | 5.13 | 200 | 0.8206 | 0.6255 |
| 0.0003 | 5.77 | 225 | 0.8371 | 0.6097 |
| 0.0003 | 6.41 | 250 | 0.8503 | 0.6148 |
| 0.0003 | 7.05 | 275 | 0.8610 | 0.6148 |
| 0.0002 | 7.69 | 300 | 0.8693 | 0.6199 |
| 0.0002 | 8.33 | 325 | 0.8755 | 0.6199 |
| 0.0002 | 8.97 | 350 | 0.8797 | 0.6199 |
| 0.0002 | 9.62 | 375 | 0.8819 | 0.6199 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
