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distilbert-base-uncased-finetuned-edgar10pct – AI Model by jonathanbb | AlphaNeural AI

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jonathanbb/
distilbert-base-uncased-finetuned-edgar10pct

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distilbert/distilbert-base-uncased

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distilbert-base-uncased-finetuned-edgar10pct

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

eval_loss: 3.8442
eval_runtime: 172.5467
eval_samples_per_second: 57.955
eval_steps_per_second: 0.91
step: 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: 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: 3.0

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.0
Tokenizers 0.15.0