metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: plm-nsp-10000
results: []
plm-nsp-10000
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3057
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: 1024
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5659 | 1.0 | 20 | 0.3155 |
| 0.2655 | 2.0 | 40 | 0.2214 |
| 0.1577 | 3.0 | 60 | 0.2089 |
| 0.102 | 4.0 | 80 | 0.2469 |
| 0.0706 | 5.0 | 100 | 0.2625 |
| 0.052 | 6.0 | 120 | 0.3057 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1