---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilroberta-base
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: 25S2_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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# 25S2_awesome_eli5_mlm_model

This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the eli5_category dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0235

## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7494        | 1.0   | 1330 | 2.1080          |
| 1.902         | 2.0   | 2660 | 2.0640          |
| 1.9937        | 3.0   | 3990 | 2.0054          |


### Framework versions

- Transformers 4.56.0
- Pytorch 2.8.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.1