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metadata-cls-no-gov-8k-v4 – AI Model by gechim | AlphaNeural AI
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metadata-cls-no-gov-8k-v4
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transformers
safetensors
roberta
text-classification
generated_from_trainer
vinai/phobert-base-v2
finetune
autotrain_compatible
endpoints_compatible
us
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metadata-cls-no-gov-8k-v4
This model is a fine-tuned version of
vinai/phobert-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.2248
eval_accuracy: 0.9413
eval_f1: 0.7841
eval_runtime: 7.5804
eval_samples_per_second: 155.005
eval_steps_per_second: 2.506
epoch: 12.2951
step: 1500
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-06
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: 20
Framework versions
Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
