prova_riconoscimento

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

• Loss: 0.0
• Accuracy: 1.0

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.89	2	2.2590	0.0
No log	1.78	4	1.8278	0.0227
No log	2.67	6	1.2314	0.9697
No log	4.0	9	0.4039	1.0
1.5804	4.89	11	0.0799	1.0
1.5804	5.78	13	0.0060	1.0
1.5804	6.67	15	0.0004	1.0
1.5804	8.0	18	0.0000	1.0
0.0314	8.89	20	0.0000	1.0
0.0314	9.78	22	0.0000	1.0
0.0314	10.67	24	0.0000	1.0
0.0314	12.0	27	0.0000	1.0
0.0314	12.89	29	0.0000	1.0
0.0	13.78	31	0.0000	1.0
0.0	14.67	33	0.0000	1.0
0.0	16.0	36	0.0000	1.0
0.0	16.89	38	0.0000	1.0
0.0	17.78	40	0.0000	1.0
0.0	18.67	42	0.0000	1.0
0.0	20.0	45	0.0000	1.0
0.0	20.89	47	0.0000	1.0
0.0	21.78	49	0.0000	1.0
0.0	22.67	51	0.0000	1.0
0.0	24.0	54	0.0	1.0
0.0	24.89	56	0.0	1.0
0.0	25.78	58	0.0	1.0
0.0	26.67	60	0.0	1.0
0.0	28.0	63	0.0	1.0
0.0	28.89	65	0.0	1.0
0.0	29.78	67	0.0	1.0
0.0	30.67	69	0.0	1.0
0.0	32.0	72	0.0	1.0
0.0	32.89	74	0.0	1.0
0.0	33.78	76	0.0	1.0
0.0	34.67	78	0.0	1.0
0.0	36.0	81	0.0	1.0
0.0	36.89	83	0.0	1.0
0.0	37.78	85	0.0	1.0
0.0	38.67	87	0.0	1.0
0.0	40.0	90	0.0	1.0
0.0	40.89	92	0.0	1.0
0.0	41.78	94	0.0	1.0
0.0	42.67	96	0.0	1.0
0.0	44.0	99	0.0	1.0
0.0	44.44	100	0.0	1.0

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2