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BERiT_4500
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.2982
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 |
---|---|---|---|
7.5996 | 0.19 | 500 | 7.4930 |
7.4322 | 0.39 | 1000 | 7.4460 |
7.3767 | 0.58 | 1500 | 7.3877 |
7.3711 | 0.77 | 2000 | 7.3511 |
7.3511 | 0.97 | 2500 | 7.3300 |
7.2984 | 1.16 | 3000 | 7.3526 |
7.3129 | 1.36 | 3500 | 7.3245 |
7.3235 | 1.55 | 4000 | 7.3333 |
7.2908 | 1.74 | 4500 | 7.2968 |
7.3262 | 1.94 | 5000 | 7.3058 |
7.3074 | 2.13 | 5500 | 7.3084 |
7.2701 | 2.32 | 6000 | 7.3020 |
7.2498 | 2.52 | 6500 | 7.2913 |
7.274 | 2.71 | 7000 | 7.2997 |
7.2593 | 2.9 | 7500 | 7.2982 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2