---
license: mit
base_model: reecursion/xlm-roberta-base-inspiration
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xlm-roberta-base-annotated-uk-inspiration
  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. -->

# xlm-roberta-base-annotated-uk-inspiration

This model is a fine-tuned version of [reecursion/xlm-roberta-base-inspiration](https://huggingface.co/reecursion/xlm-roberta-base-inspiration) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4011
- Accuracy: 0.75

## 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8278        | 1.0   | 20   | 0.5257          | 0.85     |
| 0.6352        | 2.0   | 40   | 0.4235          | 0.8      |
| 0.4402        | 3.0   | 60   | 0.3603          | 0.85     |
| 0.2762        | 4.0   | 80   | 0.3775          | 0.75     |
| 0.2643        | 5.0   | 100  | 0.4011          | 0.75     |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2