VN_ja-en_byt5_small – AI Model by twieland | AlphaNeural AI

You can deploy this model and start earning money today!

twieland/
VN_ja-en_byt5_small

like

0

text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

Views

No views yet

VN_ja-en_byt5_small

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: 1.0552

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: 0.0003
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.1687	0.1	2000	1.1805
0.9685	0.19	4000	1.1384
0.8989	0.29	6000	1.1207
0.8583	0.39	8000	1.1046
0.833	0.49	10000	1.1290
0.8102	0.58	12000	1.1225
0.7932	0.68	14000	1.0956
0.7776	0.78	16000	1.0970
0.762	0.88	18000	1.0992
0.7522	0.97	20000	1.0760
0.7318	1.07	22000	1.0579
0.7197	1.17	24000	1.0780
0.7142	1.27	26000	1.0748
0.7093	1.36	28000	1.0781
0.7005	1.46	30000	1.0756
0.6938	1.56	32000	1.0702
0.6896	1.65	34000	1.0563
0.6846	1.75	36000	1.0603
0.6807	1.85	38000	1.0626
0.6766	1.95	40000	1.0666
0.6649	2.04	42000	1.0694
0.6532	2.14	44000	1.0564
0.6501	2.24	46000	1.0715
0.6476	2.34	48000	1.0551
0.646	2.43	50000	1.0601
0.6445	2.53	52000	1.0595
0.6404	2.63	54000	1.0494
0.6378	2.72	56000	1.0584
0.636	2.82	58000	1.0531
0.6345	2.92	60000	1.0552

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1