---
library_name: transformers
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
model-index:
- name: dapper-mouse-804
  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. -->

# dapper-mouse-804

This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co./FacebookAI/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2533
- Hamming Loss: 0.0804
- Zero One Loss: 0.6875
- Jaccard Score: 0.6763
- Hamming Loss Optimised: 0.0741
- Hamming Loss Threshold: 0.2889
- Zero One Loss Optimised: 0.595
- Zero One Loss Threshold: 0.2700
- Jaccard Score Optimised: 0.5085
- Jaccard Score Threshold: 0.2226

## 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: 1.4283208635614441e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Hamming Loss | Zero One Loss | Jaccard Score | Hamming Loss Optimised | Hamming Loss Threshold | Zero One Loss Optimised | Zero One Loss Threshold | Jaccard Score Optimised | Jaccard Score Threshold |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-------------:|:-------------:|:----------------------:|:----------------------:|:-----------------------:|:-----------------------:|:-----------------------:|:-----------------------:|
| No log        | 1.0   | 100  | 0.2914          | 0.0932       | 0.8125        | 0.81          | 0.0931                 | 0.5944                 | 0.6600                  | 0.1986                  | 0.5717                  | 0.1911                  |
| No log        | 2.0   | 200  | 0.2533          | 0.0804       | 0.6875        | 0.6763        | 0.0741                 | 0.2889                 | 0.595                   | 0.2700                  | 0.5085                  | 0.2226                  |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0