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Bainbridge/
bert-italian-xxl-cased-ItaCoLA

Name: bert-italian-xxl-cased-ItaCoLA
Availability: InStock

generated_from_trainer

mit

autotrain_compatible

endpoints_compatible

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bert-italian-xxl-cased-ItaCoLA

This model is a fine-tuned version of dbmdz/bert-base-italian-xxl-cased on the ItaCoLA dataset. It achieves the following results on the evaluation set:

Loss: 0.3049
Accuracy: 0.8911

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: 1e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4243	0.41	100	0.3805	0.8541
0.3806	0.82	200	0.3862	0.8573
0.3289	1.23	300	0.3537	0.8679
0.2967	1.64	400	0.3165	0.8827
0.2992	2.05	500	0.3382	0.8784
0.2273	2.46	600	0.3294	0.8816
0.2215	2.87	700	0.3049	0.8911
0.1718	3.28	800	0.3531	0.8911
0.1757	3.69	900	0.3903	0.8922
0.1698	4.1	1000	0.3871	0.8953
0.1307	4.51	1100	0.4255	0.8953
0.1426	4.92	1200	0.3729	0.8985
0.1136	5.33	1300	0.4939	0.8964
0.1163	5.74	1400	0.4004	0.8964
0.0936	6.15	1500	0.5116	0.8964
0.0973	6.56	1600	0.4808	0.8922
0.0899	6.97	1700	0.4813	0.8869
0.0687	7.38	1800	0.6046	0.8848
0.0709	7.79	1900	0.5940	0.8964
0.0694	8.2	2000	0.5791	0.8911
0.0732	8.61	2100	0.5577	0.8922
0.0714	9.02	2200	0.5249	0.8996
0.0531	9.43	2300	0.6098	0.8932
0.0713	9.84	2400	0.5610	0.8943

Framework versions

Transformers 4.28.1
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3

Bainbridge/bert-italian-xxl-cased-ItaCoLA

bert-italian-xxl-cased-ItaCoLA

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Bainbridge/
bert-italian-xxl-cased-ItaCoLA