nsql-350M-finetuned – AI Model by cvnberk | AlphaNeural AI

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cvnberk/
nsql-350M-finetuned

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text-generation

generated_from_trainer

text2text-generation

NumbersStation/nsql-350M

endpoints_compatible

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nsql-350M-finetuned

This model is a fine-tuned version of NumbersStation/nsql-350M on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0114

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
0.1122	1.0	22	0.0555
0.0564	2.0	44	0.0263
0.0368	3.0	66	0.0222
0.0266	4.0	88	0.0161
0.0267	5.0	110	0.0175
0.0195	6.0	132	0.0153
0.0165	7.0	154	0.0119
0.0145	8.0	176	0.0116
0.0127	9.0	198	0.0123
0.0131	10.0	220	0.0127
0.0122	11.0	242	0.0108
0.0114	12.0	264	0.0112
0.0103	13.0	286	0.0113
0.0099	14.0	308	0.0114

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3