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Librarian Bot: Add base_model information to model (#2)
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metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - f1
base_model: nlptown/bert-base-multilingual-uncased-sentiment
model-index:
  - name: >-
      bert-base-multilingual-uncased-sentiment-finetuned-MeIA-AnalisisDeSentimientos
    results: []

bert-base-multilingual-uncased-sentiment-finetuned-MeIA-AnalisisDeSentimientos

This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9409
  • F1: 0.5890

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: 32
  • eval_batch_size: 32
  • seed: 42
  • 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 F1
0.9601 1.0 383 0.9355 0.5774
0.8103 2.0 766 0.9409 0.5890

Framework versions

  • Transformers 4.30.2
  • Pytorch 1.12.1+cu116
  • Datasets 2.13.1
  • Tokenizers 0.12.1