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test_trainer – AI Model by Henok21 | AlphaNeural AI | AlphaNeural AI

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Henok21/
test_trainer

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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test_trainer

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

eval_loss: 0.7351
eval_accuracy: 0.7076
eval_runtime: 63.312
eval_samples_per_second: 31.605
eval_steps_per_second: 1.99
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: 0.0001
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: 5

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3