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---
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
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