t5_number_v7_new_data – AI Model by RishuD7 | AlphaNeural AI

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t5_number_v7_new_data

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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t5_number_v7_new_data

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: 0.0108
Cer: 0.6315

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
0.0163	1.0	858	0.0141	0.8245
0.0135	2.0	1716	0.0121	0.7102
0.012	3.0	2574	0.0115	0.6647
0.0115	4.0	3432	0.0111	0.6577
0.0115	5.0	4290	0.0110	0.6490
0.0106	6.0	5148	0.0108	0.6461
0.0103	7.0	6006	0.0108	0.6362
0.0103	8.0	6864	0.0108	0.6362
0.0101	9.0	7722	0.0108	0.6327
0.01	10.0	8580	0.0108	0.6315

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.11.0
Tokenizers 0.13.3