---
license: mit
tags:
- generated_from_trainer
model-index:
- name: my-finetuned-xml-roberta4
  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. -->

# my-finetuned-xml-roberta4

This model is a fine-tuned version of [knurm/xlm-roberta-base-finetuned-est](https://huggingface.co/knurm/xlm-roberta-base-finetuned-est) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7709

## 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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.4629        | 1.0   | 5652  | 3.3367          |
| 3.1814        | 2.0   | 11304 | 3.2952          |
| 2.9718        | 3.0   | 16956 | 3.2592          |
| 2.7442        | 4.0   | 22608 | 3.3133          |
| 2.5991        | 5.0   | 28260 | 3.4292          |
| 2.4221        | 6.0   | 33912 | 3.5928          |
| 2.3259        | 7.0   | 39564 | 3.7709          |


### Framework versions

- Transformers 4.19.1
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1