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---
license: apache-2.0
tags:
- generated_from_trainer
base_model: distilroberta-base
model-index:
- name: my_awesome_eli5_mlm_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_eli5_mlm_model
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9892
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2633 | 1.0 | 1134 | 2.0191 |
| 2.1646 | 2.0 | 2268 | 1.9993 |
| 2.1182 | 3.0 | 3402 | 1.9892 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.11.0
|