distilbert_xnli_hpu / README.md
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---
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