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bert-based_cased-finetuned-financial-talk – AI Model by odunola | AlphaNeural AI

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odunola/
bert-based_cased-finetuned-financial-talk

like

0

text-classification

generated_from_trainer

google-bert/bert-base-cased

autotrain_compatible

endpoints_compatible

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bert-based_cased-finetuned-financial-talk

This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4094
eval_accuracy: 0.8997
eval_f1: 0.8994
eval_precision: 0.8999
eval_recall: 0.8997
eval_runtime: 9.6456
eval_samples_per_second: 426.827
eval_steps_per_second: 6.739
epoch: 4.98
step: 1190

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: 6

Framework versions

Transformers 4.34.1
Pytorch 2.0.1+cu118
Datasets 2.14.6
Tokenizers 0.14.1