metadata

license: apache-2.0
base_model: BSC-TeMU/roberta-base-bne
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: roberta-base-bne-finetuned-multi-sentiment
    results: []

roberta-base-bne-finetuned-multi-sentiment

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

Loss: 0.6963
Accuracy: 0.6667

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

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.802	1.0	115	0.7118	0.6883
0.5798	2.0	230	0.6963	0.6667

Framework versions

Transformers 4.40.2
Pytorch 1.13.1+cu117
Datasets 2.19.1
Tokenizers 0.19.1