qminh369/token-classification-llmlingua2-phobert-bctn-323_sample-5_epoch_16k_fpt_v1

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token-classification-llmlingua2-phobert-bctn-323sample-5epoch16kfpt_v1

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: 0.6698

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
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

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