distilgpt_new_0060

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

• Train Loss: 2.8691
• Validation Loss: 2.7610
• Epoch: 59

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
2.9698	2.8570	40
2.9632	2.8501	41
2.9567	2.8441	42
2.9505	2.8385	43
2.9445	2.8327	44
2.9385	2.8260	45
2.9329	2.8213	46
2.9272	2.8160	47
2.9217	2.8107	48
2.9162	2.8052	49
2.9110	2.8020	50
2.9060	2.7938	51
2.9010	2.7896	52
2.8962	2.7857	53
2.8913	2.7827	54
2.8866	2.7768	55
2.8821	2.7724	56
2.8776	2.7679	57
2.8733	2.7642	58
2.8691	2.7610	59

Framework versions

• Transformers 4.20.1
• TensorFlow 2.8.2
• Datasets 2.3.2
• Tokenizers 0.12.1