metadata
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: mask-langauge-modeling
results: []
mask-langauge-modeling
This model is a fine-tuned version of distilroberta-base on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 2.8290
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4564 | 1.0 | 721 | 2.8947 |
| 2.2249 | 2.0 | 1442 | 2.7831 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2