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# baseline_nli_xlmr_base_zero_shot

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:
- eval_loss: 1.1086
- eval_accuracy: 0.2918
- eval_precision: 0.2918
- eval_recall: 0.2918
- eval_f1_score: 0.1318
- eval_runtime: 44.4438
- eval_samples_per_second: 49.433
- eval_steps_per_second: 4.14
- 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: 12
- eval_batch_size: 12
- 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

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "xlm-roberta-base", "model-index": [{"name": "baseline_nli_xlmr_base_zero_shot", "results": []}]}
transformers pytorch xlm-roberta text-classification generated_from_trainer base_model:xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us