README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - emotion
metrics:
  - accuracy
model-index:
  - name: distiled_flip_model_emotion
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: emotion
          type: emotion
          config: default
          split: train
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9305

distiled_flip_model_emotion

This model is a fine-tuned version of ArafatBHossain/distill_bert_fine_tuned_emotion_dataset on the emotion dataset. It achieves the following results on the evaluation set:

• Loss: 0.1619
• Accuracy: 0.9305

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
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1681	1.0	2000	0.2442	0.9255
0.1179	2.0	4000	0.1654	0.926
0.0928	3.0	6000	0.1619	0.9305

Framework versions

• Transformers 4.23.1
• Pytorch 1.11.0
• Datasets 2.6.1
• Tokenizers 0.12.1