metadata

library_name: transformers
license: mit
base_model: mateiaassAI/teacher_sst2
tags:
  - generated_from_trainer
datasets:
  - laroseda
metrics:
  - f1
  - accuracy
  - precision
  - recall
model-index:
  - name: teacher_sst2_laroseda
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: laroseda
          type: laroseda
          config: laroseda
          split: train
          args: laroseda
        metrics:
          - name: F1
            type: f1
            value: 0.9489953582155384
          - name: Accuracy
            type: accuracy
            value: 0.949
          - name: Precision
            type: precision
            value: 0.9490837535014006
          - name: Recall
            type: recall
            value: 0.949

teacher_sst2_laroseda

This model is a fine-tuned version of mateiaassAI/teacher_sst2 on the laroseda dataset. It achieves the following results on the evaluation set:

Loss: 0.1906
F1: 0.9490
Roc Auc: 0.9490
Accuracy: 0.949
Precision: 0.9491
Recall: 0.949

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: 1.7e-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

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy	Precision	Recall
0.1799	1.0	688	0.1426	0.9435	0.9434	0.943	0.9441	0.943
0.1071	2.0	1376	0.1906	0.9490	0.9490	0.949	0.9491	0.949

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0