hubert-base-cc-finetuned-forum
This model is a fine-tuned version of SZTAKI-HLT/hubert-base-cc on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4746
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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7966 | 1.0 | 157 | 2.5139 |
| 2.6303 | 2.0 | 314 | 2.4601 |
| 2.5525 | 3.0 | 471 | 2.4501 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0a0+17540c5
- Datasets 2.2.1
- Tokenizers 0.12.1
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