flan-t5-large-absa-multitask-laptops – AI Model by Shakhovak | AlphaNeural AI

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Shakhovak/
flan-t5-large-absa-multitask-laptops

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text2text-generation

generated_from_trainer

google/flan-t5-large

text-generation-inference

endpoints_compatible

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flan-t5-large-absa-multitask-laptops

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

Loss: 0.0625

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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
1.7161	0.32	200	0.2886
0.2835	0.63	400	0.1959
0.2043	0.95	600	0.1378
0.1379	1.26	800	0.1329
0.1174	1.58	1000	0.1180
0.1118	1.9	1200	0.0967
0.0739	2.21	1400	0.0947
0.0646	2.53	1600	0.1028
0.0639	2.84	1800	0.0797
0.0496	3.16	2000	0.0803
0.0405	3.48	2200	0.0795
0.04	3.79	2400	0.0653
0.0327	4.11	2600	0.0691
0.0293	4.42	2800	0.0631
0.0203	4.74	3000	0.0668
0.0257	5.06	3200	0.0575
0.0186	5.37	3400	0.0648
0.016	5.69	3600	0.0625

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2