inigo99's picture
update model card README.md
e518740
metadata
license: apache-2.0
tags:
  - classification
  - generated_from_trainer
datasets:
  - poem_sentiment
metrics:
  - accuracy
model-index:
  - name: clasificador-poem-sentiment
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: poem_sentiment
          type: poem_sentiment
          config: default
          split: test
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.8653846153846154

clasificador-poem-sentiment

This model is a fine-tuned version of bert-base-uncased on the poem_sentiment dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5413
  • Accuracy: 0.8654

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

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 112 0.4332 0.8654
No log 2.0 224 0.4227 0.8942
No log 3.0 336 0.5413 0.8654

Framework versions

  • Transformers 4.27.4
  • Pytorch 1.13.1+cu116
  • Datasets 2.11.0
  • Tokenizers 0.13.2