---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilroberta-ConLL2003
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilroberta-ConLL2003

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0585
- F1: 0.9536

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.1666        | 1.0   | 439  | 0.0621          | 0.9345 |
| 0.0499        | 2.0   | 878  | 0.0564          | 0.9391 |
| 0.0273        | 3.0   | 1317 | 0.0553          | 0.9469 |
| 0.0167        | 4.0   | 1756 | 0.0553          | 0.9492 |
| 0.0103        | 5.0   | 2195 | 0.0572          | 0.9516 |
| 0.0068        | 6.0   | 2634 | 0.0585          | 0.9536 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1