lyfi-distilroberta-base-classification
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0675 | 0.29 | 500 | 0.0001 |
| 0.0001 | 0.59 | 1000 | 0.0000 |
| 0.0001 | 0.88 | 1500 | 0.0000 |
| 0.0 | 1.18 | 2000 | 0.0000 |
| 0.0 | 1.47 | 2500 | 0.0000 |
| 0.0262 | 1.76 | 3000 | 0.0000 |
| 0.0 | 2.06 | 3500 | 0.0000 |
| 0.0 | 2.35 | 4000 | 0.0000 |
| 0.0 | 2.65 | 4500 | 0.0000 |
| 0.0 | 2.94 | 5000 | 0.0000 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for MrHungry/lyfi-distilroberta-base-classification
Base model
distilbert/distilroberta-base