byt5-small-wikipron-eng-latn-nz-broad – AI Model by bookbot | AlphaNeural AI

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byt5-small-wikipron-eng-latn-nz-broad

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text2text-generation

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text-generation-inference

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byt5-small-wikipron-eng-latn-nz-broad

This model is a fine-tuned version of google/byt5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1880
Per: 0.3259
Gen Len: 16.3063

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: 0.0002
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Per	Gen Len
2.2173	1.0	235	0.3860	0.5095	15.7391
0.3895	2.0	470	0.2617	0.4065	16.1533
0.2907	3.0	705	0.2238	0.3594	16.2184
0.2479	4.0	941	0.2088	0.3451	16.2767
0.2274	5.0	1176	0.2000	0.3362	16.2672
0.2114	6.0	1411	0.1949	0.3366	16.3016
0.1997	7.0	1646	0.1935	0.3333	16.3086
0.1909	8.0	1882	0.1899	0.327	16.307
0.1854	9.0	2117	0.1882	0.3261	16.3109
0.1811	9.99	2350	0.1880	0.3259	16.3063

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3