BLESSRelationTrain-4
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6932
- Accuracy: 0.5
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: 8
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 0.79 | 100 | 0.6932 | 0.5 |
No log | 1.59 | 200 | 0.6976 | 0.5 |
No log | 2.38 | 300 | 0.6932 | 0.5 |
No log | 3.17 | 400 | 0.6942 | 0.5 |
0.6993 | 3.97 | 500 | 0.6939 | 0.5 |
0.6993 | 4.76 | 600 | 0.6944 | 0.5 |
0.6993 | 5.56 | 700 | 0.6937 | 0.5 |
0.6993 | 6.35 | 800 | 0.6932 | 0.5 |
0.6993 | 7.14 | 900 | 0.6932 | 0.5 |
0.6966 | 7.94 | 1000 | 0.6932 | 0.5 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
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