REBEL-ComSci – AI Model by 21iridescent | AlphaNeural AI

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21iridescent/
REBEL-ComSci

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text2text-generation

generated_from_trainer

cc-by-nc-sa-4.0

endpoints_compatible

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REBEL-ComSci

This model is a fine-tuned version of Babelscape/rebel-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 5.0770

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: 0.002
train_batch_size: 32
eval_batch_size: 32
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
No log	1.0	210	5.2197
No log	2.0	420	5.0887
5.8771	3.0	630	5.1124
5.8771	4.0	840	5.0977
4.5631	5.0	1050	5.0572
4.5631	6.0	1260	5.0645
4.5631	7.0	1470	5.0819
4.5209	8.0	1680	5.0690
4.5209	9.0	1890	5.0819
4.4896	10.0	2100	5.0770

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Tokenizers 0.13.1