metadata
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-finetuned-leftarticles-mlm-epochier
results: []
distilroberta-base-finetuned-leftarticles-mlm-epochier
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6807
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.945 | 1.0 | 2239 | 1.7957 |
| 1.8828 | 2.0 | 4478 | 1.7751 |
| 1.8337 | 3.0 | 6717 | 1.7477 |
| 1.7969 | 4.0 | 8956 | 1.7348 |
| 1.7883 | 5.0 | 11195 | 1.7267 |
| 1.7748 | 6.0 | 13434 | 1.7228 |
| 1.7262 | 7.0 | 15673 | 1.7148 |
| 1.7066 | 8.0 | 17912 | 1.6884 |
| 1.6925 | 9.0 | 20151 | 1.6846 |
| 1.7042 | 10.0 | 22390 | 1.6872 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2