metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: distilgpt2
results: []
distilgpt2
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.8623
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|
| No log | 1.0 | 285 | 5.2625 |
| 5.9427 | 2.0 | 570 | 4.9494 |
| 5.9427 | 3.0 | 855 | 4.8623 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.14.7
- Tokenizers 0.13.3