---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xnli
base_model: distilbert-base-multilingual-cased
model-index:
- name: distilbert_xnli_hpu
  results: []
---

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# distilbert_xnli_hpu

This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the xnli dataset.

## 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
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 2.0

### Training results



### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.0a0+git7392344
- Datasets 2.6.1
- Tokenizers 0.13.1