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ProsusAI-finbert-5000-samples-fine-tune – AI Model by kevinwlip | AlphaNeural AI
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kevinwlip
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ProsusAI-finbert-5000-samples-fine-tune
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
ProsusAI/finbert
finetune
autotrain_compatible
endpoints_compatible
us
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ProsusAI-finbert-5000-samples-fine-tune
This model is a fine-tuned version of
ProsusAI/finbert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0978
Accuracy: 0.826
F1: 0.826
Mse: 0.342
Mae: 0.23
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: 10
Training results
Framework versions
Transformers 4.43.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
