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

Training Loss	Epoch	Step	Validation Loss
No log	1.0	58	0.3799
No log	2.0	116	0.3286
No log	3.0	174	0.3129
No log	4.0	232	0.3105
No log	5.0	290	0.3104
No log	6.0	348	0.3064
No log	7.0	406	0.3045
No log	8.0	464	0.3049
0.3309	9.0	522	0.3044
0.3309	10.0	580	0.3054

Framework versions

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