distilgpt_new2_0060

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

• Train Loss: 2.5626
• Validation Loss: 2.4481
• 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
2.6241	2.5129	0
2.6228	2.5112	1
2.6216	2.5105	2
2.6204	2.5101	3
2.6191	2.5088	4
2.6180	2.5064	5
2.6166	2.5045	6
2.6155	2.5038	7
2.6143	2.5024	8
2.6132	2.5009	9
2.6120	2.5014	10
2.6108	2.4984	11
2.6097	2.4983	12
2.6085	2.4976	13
2.6073	2.4948	14
2.6064	2.4945	15
2.6052	2.4939	16
2.6039	2.4925	17
2.6030	2.4912	18
2.6019	2.4890	19
2.6007	2.4889	20
2.5998	2.4872	21
2.5987	2.4865	22
2.5977	2.4859	23
2.5965	2.4844	24
2.5956	2.4834	25
2.5944	2.4821	26
2.5934	2.4805	27
2.5925	2.4790	28
2.5914	2.4798	29
2.5904	2.4777	30
2.5893	2.4781	31
2.5883	2.4755	32
2.5872	2.4763	33
2.5862	2.4743	34
2.5851	2.4736	35
2.5841	2.4732	36
2.5831	2.4726	37
2.5822	2.4691	38
2.5812	2.4689	39
2.5803	2.4670	40
2.5792	2.4675	41
2.5783	2.4650	42
2.5773	2.4650	43
2.5763	2.4625	44
2.5754	2.4615	45
2.5743	2.4619	46
2.5735	2.4597	47
2.5725	2.4594	48
2.5715	2.4582	49
2.5707	2.4568	50
2.5699	2.4562	51
2.5689	2.4565	52
2.5680	2.4550	53
2.5671	2.4536	54
2.5661	2.4529	55
2.5653	2.4513	56
2.5644	2.4515	57
2.5635	2.4510	58
2.5626	2.4481	59

Framework versions

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