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EMOTION-AI

Text Classification
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Safetensors
distilbert
Generated from Trainer
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EMOTION-AI / README.md
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metadata
library_name: transformers
license: mit
base_model: FacebookAI/roberta-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: EMOTION-AI
    results: []

EMOTION-AI

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

  • Loss: 2.7185
  • Accuracy: 0.2953

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: 0.0003
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 0.9982 271 2.7301 0.2953
2.7229 1.9963 542 2.7185 0.2953

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.19.1