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my_model_nlp_workshop_2

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

  • Loss: 0.1369
  • Accuracy: 0.942

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: 224
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2639 1.0 1000 0.2136 0.9305
0.1664 2.0 2000 0.1485 0.9385
0.105 3.0 3000 0.1369 0.942

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Safetensors
Model size
125M params
Tensor type
F32
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Finetuned from

Dataset used to train soltaniali/my_model_nlp_workshop_2

Evaluation results