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yumiian/
qa_en_ms_model_v2

Name: qa_en_ms_model_v2
Availability: InStock

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qa_en_ms_model_v2

This model is a fine-tuned version of mesolitica/finetune-qa-t5-small-standard-bahasa-cased on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
1.365	1.0	1047	1.0902
1.1222	2.0	2094	0.9886
1.0316	3.0	3141	0.9431
0.9622	4.0	4188	0.9205
0.9098	5.0	5235	0.8920
0.8769	6.0	6282	0.8792
0.8612	7.0	7329	0.8734
0.8527	8.0	8376	0.8667
0.8248	9.0	9423	0.8638
0.8285	10.0	10470	0.8644