fine-tuned-t5-small

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 4.5422
• Precision: nan
• Recall: 0.7117
• F1: 0.5635
• Hashcode: roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)
• Gen Len: 19.0

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: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Hashcode	Gen Len
No log	1.0	1	12.9679	0.7745	0.7227	0.7474	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	2.0	2	12.1426	0.7811	0.7221	0.7503	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	3.0	3	11.2809	0.7811	0.7221	0.7503	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	4.0	4	10.4669	0.7821	0.7273	0.7536	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	5.0	5	9.7061	0.7821	0.7273	0.7536	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	6.0	6	9.0054	0.7821	0.7273	0.7536	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	7.0	7	8.3875	0.7821	0.7273	0.7536	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	8.0	8	7.8287	0.7772	0.7278	0.7515	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	9.0	9	7.3385	0.7772	0.7278	0.7515	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	10.0	10	6.9141	0.7772	0.7278	0.7515	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	11.0	11	6.5516	0.7801	0.7240	0.7509	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	12.0	12	6.2399	0.7801	0.7240	0.7509	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	13.0	13	5.9851	0.7801	0.7240	0.7509	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	14.0	14	5.7744	0.7801	0.7240	0.7509	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	15.0	15	5.5976	0.7801	0.7240	0.7509	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	16.0	16	5.4546	0.7873	0.7158	0.7497	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	17.0	17	5.3403	0.7873	0.7158	0.7497	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	18.0	18	5.2461	0.7873	0.7158	0.7497	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	19.0	19	5.1688	0.7873	0.7158	0.7497	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	20.0	20	5.1052	0.7922	0.7169	0.7525	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	21.0	21	5.0489	0.7922	0.7169	0.7525	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	22.0	22	5.0025	0.7941	0.7122	0.7508	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	23.0	23	4.9621	0.7941	0.7122	0.7508	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	24.0	24	4.9263	0.7941	0.7122	0.7508	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	25.0	25	4.8933	0.7941	0.7122	0.7508	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	26.0	26	4.8623	0.7941	0.7122	0.7508	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	27.0	27	4.8327	0.7941	0.7122	0.7508	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	28.0	28	4.8060	0.7941	0.7122	0.7508	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	29.0	29	4.7811	0.7941	0.7122	0.7508	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	30.0	30	4.7583	0.7712	0.7105	0.7392	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	31.0	31	4.7361	0.7712	0.7105	0.7392	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	32.0	32	4.7152	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	33.0	33	4.6964	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	34.0	34	4.6789	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	35.0	35	4.6627	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	36.0	36	4.6475	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	37.0	37	4.6330	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	38.0	38	4.6192	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	39.0	39	4.6066	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	40.0	40	4.5957	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	41.0	41	4.5859	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	42.0	42	4.5771	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	43.0	43	4.5693	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	44.0	44	4.5625	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	45.0	45	4.5567	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	46.0	46	4.5518	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	47.0	47	4.5480	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	48.0	48	4.5451	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	49.0	49	4.5432	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0
No log	50.0	50	4.5422	nan	0.7117	0.5635	roberta-large_L17_idf_version=0.3.12(hug_trans=4.30.2)	19.0

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu117
• Datasets 2.13.1
• Tokenizers 0.13.3