metadata
license: mit
base_model: roberta-large
tags:
- generated_from_trainer
model-index:
- name: roberta-large-nsp-1000-1e-06-8
results: []
roberta-large-nsp-1000-1e-06-8
This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5884
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: 32
- 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 |
|---|---|---|---|
| No log | 1.0 | 32 | 0.6935 |
| No log | 2.0 | 64 | 0.6888 |
| No log | 3.0 | 96 | 0.6834 |
| No log | 4.0 | 128 | 0.6600 |
| No log | 5.0 | 160 | 0.6272 |
| No log | 6.0 | 192 | 0.6098 |
| 0.6812 | 7.0 | 224 | 0.5968 |
| 0.6812 | 8.0 | 256 | 0.5925 |
| 0.6812 | 9.0 | 288 | 0.5899 |
| 0.6812 | 10.0 | 320 | 0.5873 |
| 0.6812 | 11.0 | 352 | 0.5866 |
| 0.6812 | 12.0 | 384 | 0.5870 |
| 0.6056 | 13.0 | 416 | 0.5884 |
| 0.6056 | 14.0 | 448 | 0.5889 |
| 0.6056 | 15.0 | 480 | 0.5887 |
| 0.6056 | 16.0 | 512 | 0.5884 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1