jazz_clm-model – AI Model by raondm | AlphaNeural AI

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raondm/
jazz_clm-model

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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jazz_clm-model

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5660

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	365	0.6431
0.6104	2.0	730	0.6238
0.5859	3.0	1095	0.6103
0.5859	4.0	1460	0.6046
0.5724	5.0	1825	0.5941
0.5574	6.0	2190	0.5930
0.5478	7.0	2555	0.5841
0.5478	8.0	2920	0.5821
0.5395	9.0	3285	0.5810
0.527	10.0	3650	0.5755
0.5237	11.0	4015	0.5728
0.5237	12.0	4380	0.5691
0.5147	13.0	4745	0.5733
0.5141	14.0	5110	0.5680
0.5141	15.0	5475	0.5657
0.5076	16.0	5840	0.5719
0.5004	17.0	6205	0.5691
0.4985	18.0	6570	0.5687
0.4985	19.0	6935	0.5679
0.4926	20.0	7300	0.5689
0.4914	21.0	7665	0.5667
0.4885	22.0	8030	0.5631
0.4885	23.0	8395	0.5666
0.4862	24.0	8760	0.5668
0.4825	25.0	9125	0.5643
0.4825	26.0	9490	0.5652
0.4828	27.0	9855	0.5667
0.48	28.0	10220	0.5657
0.4775	29.0	10585	0.5654
0.4775	30.0	10950	0.5660

Framework versions

Transformers 4.34.0
Pytorch 2.1.0
Datasets 2.14.5
Tokenizers 0.14.1