---
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-large-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-large-en-15

This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8635
- F1: 0.0986

## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.6633        | 1.0   | 2000  | 0.4470          | 0.6619 |
| 0.4004        | 2.0   | 4000  | 0.4114          | 0.7385 |
| 0.3302        | 3.0   | 6000  | 0.3452          | 0.7693 |
| 0.6865        | 4.0   | 8000  | 1.4687          | 0.1242 |
| 1.5637        | 5.0   | 10000 | 1.7529          | 0.0    |
| 1.5523        | 6.0   | 12000 | 1.8619          | 0.0986 |
| 1.5439        | 7.0   | 14000 | 1.7808          | 0.0986 |
| 1.5551        | 8.0   | 16000 | 1.7549          | 0.0986 |
| 1.5403        | 9.0   | 18000 | 1.8007          | 0.0986 |
| 1.5366        | 10.0  | 20000 | 1.8351          | 0.0986 |
| 1.5324        | 11.0  | 22000 | 1.8882          | 0.0986 |
| 1.5291        | 12.0  | 24000 | 1.8566          | 0.0986 |
| 1.5285        | 13.0  | 26000 | 1.8071          | 0.0986 |
| 1.5273        | 14.0  | 28000 | 1.8546          | 0.0986 |
| 1.5518        | 15.0  | 30000 | 1.6967          | 0.0    |
| 1.5424        | 16.0  | 32000 | 1.8714          | 0.0965 |
| 1.5356        | 17.0  | 34000 | 1.8270          | 0.0986 |
| 1.5324        | 18.0  | 36000 | 1.8352          | 0.0986 |
| 1.5286        | 19.0  | 38000 | 1.8234          | 0.0986 |
| 1.5318        | 20.0  | 40000 | 1.8017          | 0.0986 |
| 1.5285        | 21.0  | 42000 | 1.9042          | 0.0986 |
| 1.528         | 22.0  | 44000 | 1.8549          | 0.0986 |
| 1.5269        | 23.0  | 46000 | 1.8606          | 0.0986 |
| 1.525         | 24.0  | 48000 | 1.8404          | 0.0986 |
| 1.5243        | 25.0  | 50000 | 1.8635          | 0.0986 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1