roberta-base-Roberta-Model
This model is a fine-tuned version of Roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1276
- F1: 0.7654
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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.5905 | 0.5 | 500 | 0.8005 | 0.7418 |
0.5825 | 1.0 | 1000 | 0.7042 | 0.7480 |
0.4843 | 1.5 | 1500 | 0.9599 | 0.7538 |
0.4913 | 2.0 | 2000 | 0.9035 | 0.7595 |
0.396 | 2.5 | 2500 | 0.8974 | 0.7607 |
0.398 | 3.0 | 3000 | 0.8997 | 0.7652 |
0.3065 | 3.5 | 3500 | 1.0698 | 0.7619 |
0.2987 | 4.0 | 4000 | 0.9735 | 0.7655 |
0.217 | 4.5 | 4500 | 1.1451 | 0.7560 |
0.237 | 5.0 | 5000 | 1.1276 | 0.7654 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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