tinybert-toxigen-bothpretrained
This model is a fine-tuned version of agvidit1/TinyBert-Berttoken-Toxigen-pretrain on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2482
- Accuracy: 0.7702
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: 6.534672522105872e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 33
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2425 | 1.0 | 55 | 0.2482 | 0.7596 |
| 0.2382 | 2.0 | 110 | 0.2482 | 0.7677 |
| 0.2363 | 3.0 | 165 | 0.2483 | 0.7591 |
| 0.2348 | 4.0 | 220 | 0.2484 | 0.7707 |
| 0.2343 | 5.0 | 275 | 0.2487 | 0.7672 |
| 0.2342 | 6.0 | 330 | 0.2482 | 0.7702 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for joseph10/tinybert-toxigen-bothpretrained
Base model
google/bert_uncased_L-2_H-128_A-2