---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xnli_en_adalora_alpha_32_drop_01_rank_16
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# xnli_en_adalora_alpha_32_drop_01_rank_16

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4301
- Accuracy: 0.8382

## 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: 0.0003
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 0.5533        | 1.0   | 12272  | 0.4984          | 0.8020   |
| 0.5074        | 2.0   | 24544  | 0.4872          | 0.8088   |
| 0.481         | 3.0   | 36816  | 0.4989          | 0.8036   |
| 0.4747        | 4.0   | 49088  | 0.4450          | 0.8213   |
| 0.4547        | 5.0   | 61360  | 0.4395          | 0.8349   |
| 0.4413        | 6.0   | 73632  | 0.4363          | 0.8329   |
| 0.4147        | 7.0   | 85904  | 0.4383          | 0.8269   |
| 0.4252        | 8.0   | 98176  | 0.4266          | 0.8414   |
| 0.4197        | 9.0   | 110448 | 0.4298          | 0.8430   |
| 0.4065        | 10.0  | 122720 | 0.4301          | 0.8382   |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1