distilgpt_oscarth_0080 – AI Model by bigmorning | AlphaNeural AI

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bigmorning/
distilgpt_oscarth_0080

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text-generation

generated_from_keras_callback

autotrain_compatible

endpoints_compatible

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distilgpt_oscarth_0080

This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 2.8143
Validation Loss: 2.7051
Epoch: 79

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
5.6021	4.5759	0
4.4536	4.1235	1
4.1386	3.9013	2
3.9546	3.7563	3
3.8255	3.6477	4
3.7271	3.5617	5
3.6488	3.4936	6
3.5844	3.4379	7
3.5301	3.3891	8
3.4833	3.3448	9
3.4427	3.3098	10
3.4068	3.2750	11
3.3749	3.2425	12
3.3462	3.2211	13
3.3202	3.1941	14
3.2964	3.1720	15
3.2749	3.1512	16
3.2548	3.1322	17
3.2363	3.1141	18
3.2188	3.0982	19
3.2025	3.0818	20
3.1871	3.0678	21
3.1724	3.0533	22
3.1583	3.0376	23
3.1446	3.0256	24
3.1318	3.0122	25
3.1195	3.0016	26
3.1079	2.9901	27
3.0968	2.9826	28
3.0863	2.9711	29
3.0761	2.9593	30
3.0665	2.9514	31
3.0572	2.9432	32
3.0483	2.9347	33
3.0396	2.9250	34
3.0313	2.9160	35
3.0232	2.9095	36
3.0153	2.9028	37
3.0078	2.8949	38
3.0004	2.8864	39
2.9932	2.8799	40
2.9864	2.8722	41
2.9797	2.8657	42
2.9731	2.8605	43
2.9668	2.8544	44
2.9606	2.8481	45
2.9545	2.8421	46
2.9487	2.8368	47
2.9429	2.8288	48
2.9374	2.8257	49
2.9319	2.8204	50
2.9266	2.8152	51
2.9215	2.8093	52
2.9164	2.8054	53
2.9114	2.7998	54
2.9066	2.7980	55
2.9019	2.7913	56
2.8972	2.7865	57
2.8927	2.7816	58
2.8883	2.7784	59
2.8840	2.7741	60
2.8798	2.7696	61
2.8755	2.7650	62
2.8714	2.7608	63
2.8674	2.7571	64
2.8634	2.7532	65
2.8593	2.7482	66
2.8555	2.7466	67
2.8519	2.7417	68
2.8481	2.7378	69
2.8445	2.7345	70
2.8410	2.7309	71
2.8373	2.7273	72
2.8339	2.7233	73
2.8305	2.7225	74
2.8272	2.7169	75
2.8238	2.7133	76
2.8206	2.7117	77
2.8174	2.7090	78
2.8143	2.7051	79

Framework versions

Transformers 4.20.1
TensorFlow 2.8.2
Datasets 2.3.2
Tokenizers 0.12.1