metadata
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: eli5_mlm_model
results: []
eli5_mlm_model
This model is a fine-tuned version of distilroberta-base on the [Eli5][https://huggingface.co/datasets/eli5] dataset. It achieves the following results on the evaluation set:
- Loss: 1.9903
- Perplexity 7.32
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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2599 | 1.0 | 1135 | 2.0895 |
| 2.1523 | 2.0 | 2270 | 2.0072 |
| 2.1276 | 3.0 | 3405 | 1.9958 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3