4d-pl-addition-3000 – AI Model by AlexWang99 | AlphaNeural AI

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AlexWang99/
4d-pl-addition-3000

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text2text-generation

generated_from_trainer

google/byt5-small

text-generation-inference

endpoints_compatible

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byt5_3k_4d

This model is a fine-tuned version of google/byt5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0734

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: 800
eval_batch_size: 800
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	4	0.0858
No log	2.0	8	0.0784
0.2758	3.0	12	0.0821
0.2758	4.0	16	0.0756
0.2665	5.0	20	0.0801
0.2665	6.0	24	0.0745
0.2665	7.0	28	0.0699
0.2578	8.0	32	0.0731
0.2578	9.0	36	0.0740
0.254	10.0	40	0.0734

Framework versions

Transformers 4.35.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2