JAY – AI Model by jayvinay | AlphaNeural AI

You can deploy this model and start earning money today!

jayvinay/
JAY

like

0

text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

Views

No views yet

JAY

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

Loss: 0.5089

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
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	29	5.5132
No log	2.0	58	1.4226
No log	3.0	87	0.8634
No log	4.0	116	0.6091
No log	5.0	145	0.5688
No log	6.0	174	0.5448
No log	7.0	203	0.5282
No log	8.0	232	0.5177
No log	9.0	261	0.5109
No log	10.0	290	0.5089

Framework versions

Transformers 4.44.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1