t5_number_v4 – AI Model by RishuD7 | AlphaNeural AI

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RishuD7/
t5_number_v4

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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t5_number_v4

This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0049
Cer: 0.4112

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: 4e-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	Cer
No log	1.0	197	0.0116	0.6320
4.7961	2.0	394	0.0071	0.5152
0.0136	3.0	591	0.0063	0.5
0.0095	4.0	788	0.0058	0.4569
0.0074	5.0	985	0.0056	0.4518
0.0067	6.0	1182	0.0052	0.4365
0.0063	7.0	1379	0.0051	0.4315
0.006	8.0	1576	0.0050	0.4162
0.0056	9.0	1773	0.0049	0.4112
0.0053	10.0	1970	0.0049	0.4112

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.11.0
Tokenizers 0.13.3