<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
BERiT_2000
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.7293
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 |
---|---|---|---|
6.9294 | 0.19 | 500 | 6.8136 |
6.7692 | 0.39 | 1000 | 6.8006 |
6.7567 | 0.58 | 1500 | 6.7770 |
6.746 | 0.77 | 2000 | 6.7414 |
6.7577 | 0.97 | 2500 | 6.7333 |
6.7295 | 1.16 | 3000 | 6.7405 |
6.7635 | 1.36 | 3500 | 6.7272 |
6.7715 | 1.55 | 4000 | 6.7114 |
6.7348 | 1.74 | 4500 | 6.7275 |
6.719 | 1.94 | 5000 | 6.7322 |
6.7427 | 2.13 | 5500 | 6.7242 |
6.7136 | 2.32 | 6000 | 6.6852 |
6.719 | 2.52 | 6500 | 6.7430 |
6.7229 | 2.71 | 7000 | 6.7331 |
6.7166 | 2.9 | 7500 | 6.7293 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2