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1025 – AI Model by tingchih | AlphaNeural AI
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tingchih
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1025
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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1025
This model is a fine-tuned version of
ProsusAI/finbert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3259
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
1.3218
1.0
6207
1.3216
1.3083
2.0
12414
1.3259
Framework versions
Transformers 4.28.1
Pytorch 1.13.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3
