metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: ag_news
results: []
ag_news
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3557
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.4618 | 1.0 | 375 | 0.3557 |
0.3576 | 2.0 | 750 | 0.3965 |
0.4148 | 3.0 | 1125 | 0.4339 |
0.1094 | 4.0 | 1500 | 0.4831 |
0.1082 | 5.0 | 1875 | 0.5202 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.19.1