---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: DIPROMATS_subtask_1_base_train
  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. -->

# DIPROMATS_subtask_1_base_train

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0650
- F1: 0.9786

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.5298        | 1.0   | 46   | 0.5474          | 0.6476 |
| 0.4054        | 2.0   | 92   | 0.3447          | 0.8075 |
| 0.1121        | 3.0   | 138  | 0.2614          | 0.8747 |
| 0.3135        | 4.0   | 184  | 0.1970          | 0.9132 |
| 0.2817        | 5.0   | 230  | 0.1525          | 0.9331 |
| 0.1796        | 6.0   | 276  | 0.1200          | 0.9470 |
| 0.0267        | 7.0   | 322  | 0.0967          | 0.9631 |
| 0.1953        | 8.0   | 368  | 0.0829          | 0.9691 |
| 0.0168        | 9.0   | 414  | 0.0746          | 0.9754 |
| 0.0858        | 10.0  | 460  | 0.0650          | 0.9786 |


### Framework versions

- Transformers 4.28.1
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.13.3