CS505-Classifier-T4_predictLabel_a1_v9

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: 0.0355

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 70

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.98	48	0.6966
No log	1.96	96	0.3265
No log	2.94	144	0.2746
No log	3.92	192	0.1899
No log	4.9	240	0.1671
No log	5.88	288	0.1193
No log	6.86	336	0.1259
No log	7.84	384	0.0737
No log	8.82	432	0.0461
No log	9.8	480	0.0490
0.3023	10.78	528	0.0293
0.3023	11.76	576	0.0324
0.3023	12.73	624	0.0355

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2