QA_REDACTION_NOV1_19 – AI Model by prajwalJumde | AlphaNeural AI

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QA_REDACTION_NOV1_19

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QA_REDACTION_NOV1_19

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

Loss: 0.0174

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: 3
eval_batch_size: 3
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
1.0179	1.0	945	0.0366
0.1597	2.0	1890	0.0217
0.0651	3.0	2835	0.0264
0.0815	4.0	3780	0.0241
0.0503	5.0	4725	0.0213
0.0215	6.0	5670	0.0160
0.0257	7.0	6615	0.0195
0.0268	8.0	7560	0.0194
0.0323	9.0	8505	0.0179
0.0215	10.0	9450	0.0174

Framework versions

Transformers 4.34.1
Pytorch 2.0.1
Datasets 2.14.6
Tokenizers 0.14.1