tathyanka-nlq – AI Model by r4zzchaudhary | AlphaNeural AI

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r4zzchaudhary/
tathyanka-nlq

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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tathyanka-nlq

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0037
Rouge2 Precision: 0.8538
Rouge2 Recall: 0.4319
Rouge2 Fmeasure: 0.5732

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
No log	1.0	315	0.0156	0.8518	0.4307	0.5717
0.5316	2.0	630	0.0085	0.8525	0.4314	0.5725
0.5316	3.0	945	0.0051	0.8541	0.432	0.5734
0.0188	4.0	1260	0.0041	0.8538	0.4319	0.5732
0.0102	5.0	1575	0.0037	0.8538	0.4319	0.5732

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2