---
license: mit
tags:
- generated_from_trainer
model-index:
- name: my-finetuned-xml-roberta2
  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-roberta2

This model is a fine-tuned version of [knurm/my-finetuned-xml-roberta](https://huggingface.co/knurm/my-finetuned-xml-roberta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4644

## 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.4491        | 1.0   | 5652  | 3.3339          |
| 3.171         | 2.0   | 11304 | 3.2681          |
| 2.9518        | 3.0   | 16956 | 3.3003          |
| 2.7305        | 4.0   | 22608 | 3.3447          |
| 2.5974        | 5.0   | 28260 | 3.4644          |


### Framework versions

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