sa_distilBERT / README.md
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End of training
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metadata
license: apache-2.0
base_model: bhadresh-savani/distilbert-base-uncased-emotion
tags:
  - generated_from_trainer
datasets:
  - emotion
model-index:
  - name: sa_distilBERT
    results: []

sa_distilBERT

This model is a fine-tuned version of bhadresh-savani/distilbert-base-uncased-emotion 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: 0.0
  • train_batch_size: 128
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 125 0.1740 0.927

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.14.1