roberta-base-university-writing2 – AI Model by egumasa | AlphaNeural AI

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egumasa/
roberta-base-university-writing2

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roberta-base-university-writing2

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

Loss: 1.5392

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.8142	0.99	82	1.6699
1.755	1.99	164	1.6330
1.7135	2.99	246	1.6195
1.6895	3.99	328	1.6024
1.6622	4.99	410	1.5921
1.644	5.99	492	1.5745
1.6321	6.99	574	1.5762
1.6194	7.99	656	1.5857
1.606	8.99	738	1.5607
1.5931	9.99	820	1.5649
1.5846	10.99	902	1.5547
1.5753	11.99	984	1.5451
1.5691	12.99	1066	1.5355
1.5645	13.99	1148	1.5409
1.5521	14.99	1230	1.5207
1.5471	15.99	1312	1.5367
1.5463	16.99	1394	1.5476
1.5412	17.99	1476	1.5065
1.5409	18.99	1558	1.5333
1.5331	19.99	1640	1.5123

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2