---
license: mit
base_model: xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: baseline_nli_xlmr_large_zero_shot
  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. -->

# baseline_nli_xlmr_large_zero_shot

This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.1406
- eval_accuracy: 0.2918
- eval_precision: 0.2918
- eval_recall: 0.2918
- eval_f1_score: 0.1318
- eval_runtime: 139.4721
- eval_samples_per_second: 15.752
- eval_steps_per_second: 3.943
- step: 0

## 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: 3e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 101
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3