token-classification-llmlingua2-phobert-bctn-2308_sample-10_epoch_best_data – AI Model by qminh369 | AlphaNeural AI

You can deploy this model and start earning money today!

qminh369/
token-classification-llmlingua2-phobert-bctn-2308_sample-10_epoch_best_data

like

0

token-classification

generated_from_trainer

vinai/phobert-base-v2

autotrain_compatible

endpoints_compatible

Views

No views yet

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