README.md

metadata

license: mit
base_model: MoritzLaurer/mDeBERTa-v3-base-mnli-xnli
tags:
  - generated_from_trainer
model-index:
  - name: mDeBERTa-v3-base-mnli-xnli-finetune_v3
    results: []

mDeBERTa-v3-base-mnli-xnli-finetune_v3

This model is a fine-tuned version of MoritzLaurer/mDeBERTa-v3-base-mnli-xnli on the None 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
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 32

Training results

Framework versions

• Transformers 4.39.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2