---
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-large-en-si-only-finetuned-sinquad-v12
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# xlm-roberta-large-en-si-only-finetuned-sinquad-v12

This model is a fine-tuned version of [9wimu9/xlm-roberta-large-en-si-only](https://huggingface.co/9wimu9/xlm-roberta-large-en-si-only) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7128

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.612         | 1.0   | 93   | 0.8081          |
| 0.7979        | 2.0   | 186  | 0.6823          |
| 0.6887        | 3.0   | 279  | 0.6532          |
| 0.4166        | 4.0   | 372  | 0.6846          |
| 0.3985        | 5.0   | 465  | 0.7128          |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 1.12.1+cu116
- Datasets 2.6.1
- Tokenizers 0.12.1

{'exact_match': 69.58841463414635, 'f1': 87.9274817360267}