electricidad-base-finetuned-sst2-es

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Electricidad (base) fine-tuned on sst2-es-mt for Spanish Sentiment Analysis 👍👎

This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the sst2-es-mt dataset. A dataset created using Neural Machine Translation on original SST2 (English) dataset.

It achieves the following results on the evaluation set:

• Loss: 0.4377
• Accuracy: 0.9014
• F1: 0.9034

Usage

from transformers import pipeline

model_ckpt = "mrm8488/electricidad-base-finetuned-sst2-es"

classifier = pipeline("sentiment-analysis", model=model_ckpt)

classifier("Here your text in Spanish!")

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 32
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Framework versions

• Transformers 4.21.2
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1