---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
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
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# 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: 1.8642

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 64   | 1.9911          |
| No log        | 2.0   | 128  | 2.0413          |
| No log        | 3.0   | 192  | 1.8887          |
| No log        | 4.0   | 256  | 1.8567          |
| No log        | 5.0   | 320  | 1.9673          |
| No log        | 6.0   | 384  | 1.9546          |
| No log        | 7.0   | 448  | 1.8128          |
| 2.0263        | 8.0   | 512  | 1.9133          |
| 2.0263        | 9.0   | 576  | 1.9318          |
| 2.0263        | 10.0  | 640  | 1.8511          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1