distilgpt_new_0040 – AI Model by bigmorning | AlphaNeural AI

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bigmorning/
distilgpt_new_0040

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text-generation

generated_from_keras_callback

autotrain_compatible

endpoints_compatible

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distilgpt_new_0040

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 2.9767
Validation Loss: 2.8643
Epoch: 39

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
5.6632	4.5153	0
4.4292	4.0923	1
4.1169	3.8723	2
3.9326	3.7260	3
3.8026	3.6281	4
3.7045	3.5355	5
3.6254	3.4645	6
3.5604	3.4093	7
3.5048	3.3587	8
3.4569	3.3136	9
3.4155	3.2778	10
3.3791	3.2443	11
3.3470	3.2157	12
3.3183	3.1854	13
3.2922	3.1642	14
3.2685	3.1400	15
3.2467	3.1193	16
3.2267	3.1009	17
3.2078	3.0838	18
3.1904	3.0689	19
3.1739	3.0520	20
3.1584	3.0379	21
3.1438	3.0255	22
3.1300	3.0116	23
3.1168	2.9965	24
3.1044	2.9866	25
3.0925	2.9752	26
3.0812	2.9631	27
3.0704	2.9539	28
3.0601	2.9458	29
3.0502	2.9340	30
3.0408	2.9251	31
3.0317	2.9179	32
3.0230	2.9082	33
3.0147	2.9002	34
3.0065	2.8948	35
2.9987	2.8855	36
2.9911	2.8779	37
2.9838	2.8706	38
2.9767	2.8643	39

Framework versions

Transformers 4.20.1
TensorFlow 2.8.2
Datasets 2.3.2
Tokenizers 0.12.1