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ft-bert-base-uncased-for-sentiment-classification – AI Model by aisuko | AlphaNeural AI
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ft-bert-base-uncased-for-sentiment-classification
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safetensors
bert
generated_from_trainer
financial_phrasebank
google-bert/bert-base-uncased
finetune
apache-2.0
us
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ft-bert-base-uncased-for-sentiment-classification
This model is a fine-tuned version of
bert-base-uncased
on the
https://huggingface.co/datasets/takala/financial_phrasebank
dataset. It achieves the following results on the evaluation set:
Loss: 0.1120
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.1649
1.0
128
0.1319
0.1322
2.0
256
0.1232
0.0092
3.0
384
0.1120
Framework versions
Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
