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---
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: KUCI_xlm_roberta_base_Finetuned
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. -->
# KUCI_xlm_roberta_base_Finetuned
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0342
- F1: 0.7762
## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.6869 | 1.0 | 5196 | 0.6337 | 0.7446 |
| 0.5599 | 2.0 | 10392 | 0.6582 | 0.7644 |
| 0.462 | 3.0 | 15588 | 0.6245 | 0.7705 |
| 0.358 | 4.0 | 20784 | 0.7001 | 0.7736 |
| 0.2786 | 5.0 | 25980 | 0.7545 | 0.7765 |
| 0.2248 | 6.0 | 31176 | 0.9416 | 0.7776 |
| 0.1889 | 7.0 | 36372 | 1.0342 | 0.7762 |
### Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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