evendivil's picture
End of training
0c6bff1
|
raw
history blame
1.24 kB
metadata
license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
metrics:
  - f1
  - recall
  - accuracy
model-index:
  - name: finetuning-sentiment-model-3000-samples
    results: []

finetuning-sentiment-model-3000-samples

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

  • Loss: 0.4884
  • F1: 0.804
  • Recall: 0.804
  • Accuracy: 0.804

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: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.0+cu117
  • Datasets 2.14.5
  • Tokenizers 0.13.2