---
base_model: asadfgglie/mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.0
tags:
- generated_from_trainer
model-index:
- name: mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.3
  results: []
---

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# mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.3

This model is a fine-tuned version of [asadfgglie/mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.0](https://huggingface.co/asadfgglie/mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.0) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4780
- eval_f1_macro: 0.8407
- eval_f1_micro: 0.8429
- eval_accuracy_balanced: 0.8388
- eval_accuracy: 0.8429
- eval_precision_macro: 0.8473
- eval_recall_macro: 0.8388
- eval_precision_micro: 0.8429
- eval_recall_micro: 0.8429
- eval_runtime: 59.812
- eval_samples_per_second: 126.346
- eval_steps_per_second: 1.003
- epoch: 0.0
- step: 4

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 128
- seed: 40
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 3

### Framework versions

- Transformers 4.33.3
- Pytorch 2.5.1+cu121
- Datasets 2.14.7
- Tokenizers 0.13.3