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adriansanz/
2404v6

Name: 2404v6
Rating: 2.5 (7 reviews)

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2404v6

This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Ratio
0.5731	0.2597	10	0.5646	0.8613	0.8645	0.8613	0.8610	0.4538
0.5515	0.5195	20	0.5569	0.8613	0.8626	0.8613	0.8612	0.4706
0.5164	0.7792	30	0.6079	0.8277	0.8363	0.8277	0.8266	0.5798
0.5641	1.0390	40	0.5728	0.8571	0.8608	0.8571	0.8568	0.4496
0.4665	1.2987	50	0.5992	0.8403	0.8407	0.8403	0.8403	0.5168
0.4632	1.5584	60	0.5990	0.8613	0.8634	0.8613	0.8611	0.4622
0.4456	1.8182	70	0.5939	0.8445	0.8451	0.8445	0.8445	0.4790