metadata

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

zero_shot_train

This model is a fine-tuned version of MoritzLaurer/mDeBERTa-v3-base-mnli-xnli on the emotion 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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2

Training results

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3