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hnai_model – AI Model by 203427as321 | AlphaNeural AI

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203427as321/
hnai_model

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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hnai_model

This model is a fine-tuned version of xlm-roberta-base on the None dataset.

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: 12
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 8

Training results

Framework versions

Transformers 4.30.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3