roberta-base-academic3 – AI Model by egumasa | AlphaNeural AI

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egumasa/
roberta-base-academic3

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roberta-base-academic3

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

Loss: 1.4206

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: 7e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.2
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.6943	0.99	82	1.5540
1.6494	1.99	164	1.5268
1.63	2.99	246	1.5209
1.6152	3.99	328	1.5049
1.5985	4.99	410	1.4891
1.5826	5.99	492	1.4876
1.5643	6.99	574	1.4769
1.5506	7.99	656	1.4638
1.5383	8.99	738	1.4548
1.5309	9.99	820	1.4511
1.5225	10.99	902	1.4492
1.5124	11.99	984	1.4419
1.507	12.99	1066	1.4323
1.4985	13.99	1148	1.4294
1.4921	14.99	1230	1.4296
1.4859	15.99	1312	1.4256
1.4827	16.99	1394	1.4194
1.4756	17.99	1476	1.4184
1.474	18.99	1558	1.4156
1.4737	19.99	1640	1.4165

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2