sentiment_ita – AI Model by luigisaetta | AlphaNeural AI

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luigisaetta/
sentiment_ita

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text-classification

generated_from_trainer

neuraly/bert-base-italian-cased-sentiment

autotrain_compatible

endpoints_compatible

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sentiment_ita

This model is a fine-tuned version of neuraly/bert-base-italian-cased-sentiment on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6301
Accuracy: 0.6903

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: 48
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 600
num_epochs: 14

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.5002	1.67	100	0.9894	0.6460
0.6959	3.33	200	0.7681	0.6726
0.5325	5.0	300	0.7615	0.6962
0.349	6.67	400	0.8867	0.6932
0.1798	8.33	500	1.1361	0.6873
0.0983	10.0	600	1.3994	0.6962
0.0412	11.67	700	1.5411	0.7109
0.0293	13.33	800	1.6301	0.6903

Framework versions

Transformers 4.35.2
Pytorch 2.0.1
Datasets 2.15.0
Tokenizers 0.15.0