T5_256tokens_gossip – AI Model by umangsharmacs | AlphaNeural AI

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umangsharmacs/
T5_256tokens_gossip

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text-classification

generated_from_trainer

google-t5/t5-base

autotrain_compatible

text-generation-inference

endpoints_compatible

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T5_256tokens_gossip

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

Loss: 0.6024
Accuracy: 0.9057
F1: 0.9000
Precision: 0.8962
Recall: 0.9057

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.2489	1.0	1590	0.3115	0.8994	0.8878	0.8815	0.8994
0.0452	2.0	3180	0.3244	0.9201	0.9009	0.9103	0.9201
0.0508	3.0	4770	0.4210	0.9107	0.9039	0.9001	0.9107
0.0269	4.0	6360	0.4959	0.9113	0.9013	0.8974	0.9113
0.1621	5.0	7950	0.6024	0.9057	0.9000	0.8962	0.9057

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0