bert-base-uncased-finetuned-cda-gender-neutral
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7189
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1601 | 1.0 | 250 | 1.8874 |
| 1.9588 | 2.0 | 500 | 1.8183 |
| 1.9099 | 3.0 | 750 | 1.7578 |
| 1.8581 | 4.0 | 1000 | 1.7431 |
| 1.8305 | 5.0 | 1250 | 1.7409 |
| 1.8197 | 6.0 | 1500 | 1.7162 |
| 1.7967 | 7.0 | 1750 | 1.6774 |
| 1.7923 | 8.0 | 2000 | 1.6912 |
| 1.7765 | 9.0 | 2250 | 1.7099 |
| 1.7724 | 10.0 | 2500 | 1.7372 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for zz990906/bert-base-uncased-finetuned-cda-gender-neutral
Base model
google-bert/bert-base-uncased