bert-base-cased-finetuned-products_2

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bert-base-cased-finetuned-products_2

This model is a fine-tuned version of amirkazemim/bert-base-cased-finetuned-products on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.3615

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: 4e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 16

Training results

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0.post100
• Datasets 2.19.1
• Tokenizers 0.19.1