metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - go_emotions
metrics:
  - accuracy
  - f1
model-index:
  - name: roberta-large-bne-finetuned-go_emotions-es
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: go_emotions
          type: go_emotions
          config: simplified
          split: train
          args: simplified
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.5668425681618294
          - name: F1
            type: f1
            value: 0.5572049178848779

roberta-large-bne-finetuned-go_emotions-es

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-large-bne on the go_emotions dataset. It achieves the following results on the evaluation set:

Loss: 3.2457
Accuracy: 0.5668
F1: 0.5572

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: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.5678	1.0	9077	1.5649	0.5671	0.5197
1.3898	2.0	18154	1.5005	0.5776	0.5492
0.915	3.0	27231	1.8045	0.5891	0.5692
0.5424	4.0	36308	2.8463	0.5646	0.5519
0.2018	5.0	45385	3.2457	0.5668	0.5572

Framework versions

Transformers 4.21.2
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1