roberta-base-finetuned-nmrv-finetuned-ced
This model is a fine-tuned version of kapliff89/roberta-base-finetuned-nmrv on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0241
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|
| 0.2266 | 1.0 | 188 | 0.0294 |
| 0.024 | 2.0 | 376 | 0.0250 |
| 0.0044 | 3.0 | 564 | 0.0241 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for kapliff89/roberta-base-finetuned-nmrv-finetuned-ced
Base model
klue/roberta-base
Finetuned
kapliff89/roberta-base-finetuned-nmrv