roberta-large-nsp-1000000-1e-06-32
This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1112
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: 1e-06
- train_batch_size: 128
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.107 | 1.0 | 7813 | 0.0991 |
0.0899 | 2.0 | 15626 | 0.0852 |
0.0725 | 3.0 | 23439 | 0.0834 |
0.0656 | 4.0 | 31252 | 0.0824 |
0.0553 | 5.0 | 39065 | 0.0880 |
0.0501 | 6.0 | 46878 | 0.0908 |
0.042 | 7.0 | 54691 | 0.1021 |
0.041 | 8.0 | 62504 | 0.0987 |
0.0347 | 9.0 | 70317 | 0.1112 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Downloads last month
- 9
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.