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---
license: mit
base_model: DeepaPeri/xlm-roberta-base-en-5
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-en-15
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-en-15
This model is a fine-tuned version of [DeepaPeri/xlm-roberta-base-en-5](https://huggingface.co/DeepaPeri/xlm-roberta-base-en-5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5872
- F1: 0.8359
## 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: 5e-05
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.1525 | 1.0 | 1000 | 0.3252 | 0.8107 |
| 0.1294 | 2.0 | 2000 | 0.3068 | 0.8076 |
| 0.1024 | 3.0 | 3000 | 0.3503 | 0.8117 |
| 0.0778 | 4.0 | 4000 | 0.3877 | 0.8248 |
| 0.0587 | 5.0 | 5000 | 0.4293 | 0.8113 |
| 0.0397 | 6.0 | 6000 | 0.4690 | 0.8235 |
| 0.0313 | 7.0 | 7000 | 0.4946 | 0.8283 |
| 0.0188 | 8.0 | 8000 | 0.5559 | 0.8327 |
| 0.0121 | 9.0 | 9000 | 0.5771 | 0.8361 |
| 0.0079 | 10.0 | 10000 | 0.5872 | 0.8359 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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