wisesight_sentiment

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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