QA_REFINED_DATA_14K_15-08 – AI Model by am-infoweb | AlphaNeural AI

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QA_REFINED_DATA_14K_15-08

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deepset/roberta-base-squad2

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QA_REFINED_DATA_14K_14-08

This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8890

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: 2
eval_batch_size: 2
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
0.923	1.0	5451	0.6928
0.7731	2.0	10902	0.8015
0.6107	3.0	16353	0.7948
0.5961	4.0	21804	0.7665
0.6113	5.0	27255	0.8171
0.5014	6.0	32706	0.7901
0.4425	7.0	38157	0.7140
0.4546	8.0	43608	0.8264
0.3919	9.0	49059	0.8266
0.3568	10.0	54510	0.8890

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3