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finetuning-sentiment-model-1000-samples-synth – AI Model by klorine28 | AlphaNeural AI

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klorine28/
finetuning-sentiment-model-1000-samples-synth

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text-classification

generated_from_trainer

finiteautomata/bertweet-base-sentiment-analysis

autotrain_compatible

endpoints_compatible

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finetuning-sentiment-model-1000-samples-synth

This model is a fine-tuned version of finiteautomata/bertweet-base-sentiment-analysis on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0794
Accuracy: 0.9825
F1: 0.9825
Recall: 0.9899
Precision: 0.9751

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 4.39.3
Pytorch 1.13.1+cpu
Datasets 2.18.0
Tokenizers 0.15.2