---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-finetuned-ANAD-mlm-0.15-base-19OCT
  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-base-finetuned-ANAD-mlm-0.15-base-19OCT

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: 1.5208

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 2.0052        | 0.9999 | 1063  | 1.8141          |
| 1.9038        | 1.9999 | 2126  | 1.7297          |
| 1.8271        | 2.9998 | 3189  | 1.6728          |
| 1.7734        | 3.9998 | 4252  | 1.6329          |
| 1.728         | 4.9997 | 5315  | 1.6055          |
| 1.6905        | 5.9996 | 6378  | 1.5794          |
| 1.6624        | 6.9996 | 7441  | 1.5558          |
| 1.6257        | 7.9995 | 8504  | 1.5368          |
| 1.6127        | 8.9995 | 9567  | 1.5279          |
| 1.593         | 9.9994 | 10630 | 1.5208          |


### Framework versions

- Transformers 4.43.4
- Pytorch 2.1.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1