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results – AI Model by esmat12 | AlphaNeural AI
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esmat12
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results
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transformers
safetensors
bert
text-classification
generated_from_trainer
ProsusAI/finbert
finetune
endpoints_compatible
us
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results
This model is a fine-tuned version of
ProsusAI/finbert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0002
Accuracy: 1.0
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0007
1.0
125
0.0005
1.0
0.0003
2.0
250
0.0003
1.0
0.0003
3.0
375
0.0002
1.0
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
