ossp-v0_3 – AI Model by leadawon | AlphaNeural AI

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leadawon/
ossp-v0_3

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encoder-decoder

text2text-generation

generated_from_trainer

endpoints_compatible

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ossp-v0_3

This model is a fine-tuned version of leadawon/ossp-v0_2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3451

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: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3999	0.2	10000	0.4079
0.4441	0.39	20000	0.4555
0.4361	0.59	30000	0.4378
0.4302	0.79	40000	0.4255
0.4392	0.98	50000	0.4076
0.3714	1.18	60000	0.4006
0.3694	1.38	70000	0.3908
0.3591	1.57	80000	0.3810
0.3594	1.77	90000	0.3762
0.3567	1.97	100000	0.3667
0.3041	2.16	110000	0.3663
0.299	2.36	120000	0.3603
0.2972	2.56	130000	0.3569
0.2892	2.75	140000	0.3519
0.2844	2.95	150000	0.3463
0.2372	3.15	160000	0.3522
0.2367	3.34	170000	0.3508
0.2295	3.54	180000	0.3489
0.2281	3.74	190000	0.3468
0.2233	3.93	200000	0.3451

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Tokenizers 0.13.3