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wisesight_sentiment – AI Model by mmenuu | AlphaNeural AI
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wisesight_sentiment
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transformers
tensorboard
safetensors
camembert
text-classification
generated_from_trainer
clicknext/phayathaibert
finetune
autotrain_compatible
endpoints_compatible
us
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wisesight_sentiment
This model is a fine-tuned version of
clicknext/phayathaibert
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.6884
eval_micro_average_f1: 0.7442
eval_macro_average_f1: 0.6334
eval_class_f1: {'pos': 0.5728155339805825, 'neu': 0.7831094049904032, 'neg': 0.8028059236165237, 'q': 0.375}
eval_runtime: 7.5819
eval_samples_per_second: 317.072
eval_steps_per_second: 19.916
epoch: 0.3698
step: 500
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: 3e-05
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
