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nhanpv/
phobert-v2-finetuned-timi

Name: phobert-v2-finetuned-timi
Availability: InStock

generated_from_trainer

nhanpv/phobert-v2-finetuned-timi

finetune

autotrain_compatible

endpoints_compatible

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phobert-v2-finetuned-timi

This model is a fine-tuned version of nhanpv/phobert-v2-finetuned-timi on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0430

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: 2e-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
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.3847	1.0	129	1.1946
1.3808	2.0	258	1.1687
1.3896	3.0	387	1.1924
1.3737	4.0	516	1.1528
1.3285	5.0	645	1.0942
1.3244	6.0	774	1.1055
1.2762	7.0	903	1.0649
1.251	8.0	1032	1.0397
1.2462	9.0	1161	1.0636
1.2425	10.0	1290	1.0430

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3