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AI-everydayy
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Audio_Podcast_Summarization_2

Multiple Choice
Transformers
Safetensors
deberta-v2
Generated from Trainer
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xet
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Use from the
Transformers library
# Gated model: Login with a HF token with gated access permission
hf auth login
# Load model directly
from transformers import AutoTokenizer, AutoModelForMultipleChoice

tokenizer = AutoTokenizer.from_pretrained("AI-everydayy/Audio_Podcast_Summarization_2")
model = AutoModelForMultipleChoice.from_pretrained("AI-everydayy/Audio_Podcast_Summarization_2")
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tmp_trainer

This model was trained from scratch on an unknown 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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.14.1
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