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nlp_a4 – AI Model by hhardik | AlphaNeural AI

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hhardik/
nlp_a4

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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nlp_a4

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.3511
eval_f1: 0.4167
eval_runtime: 128.3405
eval_samples_per_second: 56.794
eval_steps_per_second: 1.777
epoch: 2.0
step: 3684

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2