metadata

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

distilbert_xnli_hpu

This model is a fine-tuned version of 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