---
library_name: transformers
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
model-index:
- name: valuable-squid-615
  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. -->

# valuable-squid-615

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: 0.1886
- Hamming Loss: 0.0605
- Zero One Loss: 0.4675
- Jaccard Score: 0.4289
- Hamming Loss Optimised: 0.0596
- Hamming Loss Threshold: 0.5113
- Zero One Loss Optimised: 0.4363
- Zero One Loss Threshold: 0.4054
- Jaccard Score Optimised: 0.3606
- Jaccard Score Threshold: 0.3059

## 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: 2.6795250522175907e-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: 3

### 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  | 0.2485          | 0.0774       | 0.6475        | 0.6308        | 0.0767                 | 0.4029                 | 0.5813                  | 0.2602                  | 0.5165                  | 0.2275                  |
| No log        | 2.0   | 200  | 0.2005          | 0.0606       | 0.5           | 0.4601        | 0.0617                 | 0.5541                 | 0.4613                  | 0.4187                  | 0.3756                  | 0.2803                  |
| No log        | 3.0   | 300  | 0.1886          | 0.0605       | 0.4675        | 0.4289        | 0.0596                 | 0.5113                 | 0.4363                  | 0.4054                  | 0.3606                  | 0.3059                  |


### Framework versions

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