token-classification-llmlingua2-phobert-bctn-2308_sample-10_epoch_best_data

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token-classification-llmlingua2-phobert-bctn-2308_sample-10_epoch_best_data

This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3044

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: 1e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Framework versions

• Transformers 4.39.0.dev0
• Pytorch 2.2.1+cu118
• Datasets 2.18.0
• Tokenizers 0.15.2