videberta-xsmall-finetuned-squad – AI Model by namngo | AlphaNeural AI

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videberta-xsmall-finetuned-squad

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videberta-xsmall-finetuned-squad

This model is a fine-tuned version of Fsoft-AIC/videberta-xsmall on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.6690

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: 6e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
3.0744	1.0	1196	2.8061
2.432	2.0	2392	2.3660
2.0159	3.0	3588	2.2795
1.7175	4.0	4784	2.1633
1.4843	5.0	5980	2.1167
1.2682	6.0	7176	2.2753
1.1	7.0	8372	2.4245
0.9674	8.0	9568	2.5100
0.8752	9.0	10764	2.6157
0.7952	10.0	11960	2.6690

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3