metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: my_awesome_eli5_clm-model
results: []
my_awesome_eli5_clm-model
This model is a fine-tuned version of roberta-base on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 4.0051
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: 2e-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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.3754 | 1.0 | 1321 | 4.0959 |
| 4.098 | 2.0 | 2642 | 4.0268 |
| 3.987 | 3.0 | 3963 | 4.0051 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1