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cuadron11/
modelBeto

Name: modelBeto
Rating: 2.5 (5 reviews)

generated_from_trainer

autotrain_compatible

endpoints_compatible

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modelBeto

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1719
Precision: 0.5388
Recall: 0.5781
F1: 0.5578
Accuracy: 0.9685

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 32

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	29	0.2382	0.0	0.0	0.0	0.9473
No log	2.0	58	0.2253	0.0	0.0	0.0	0.9473
No log	3.0	87	0.1591	0.3922	0.1042	0.1646	0.9512
No log	4.0	116	0.1398	0.3529	0.2188	0.2701	0.9590
No log	5.0	145	0.1157	0.4468	0.3281	0.3784	0.9571
No log	6.0	174	0.1181	0.5407	0.3802	0.4465	0.9604
No log	7.0	203	0.1144	0.4384	0.5	0.4672	0.9597
No log	8.0	232	0.1350	0.5887	0.4323	0.4985	0.9682
No log	9.0	261	0.1193	0.5117	0.5677	0.5383	0.9649
No log	10.0	290	0.1365	0.5962	0.4844	0.5345	0.9708
No log	11.0	319	0.1352	0.5	0.5781	0.5362	0.9652
No log	12.0	348	0.1534	0.5593	0.5156	0.5366	0.9692
No log	13.0	377	0.1475	0.5838	0.5260	0.5534	0.9699
No log	14.0	406	0.1395	0.5144	0.6510	0.5747	0.9670
No log	15.0	435	0.1487	0.5550	0.6042	0.5786	0.9696
No log	16.0	464	0.1576	0.5637	0.5990	0.5808	0.9697
No log	17.0	493	0.1557	0.5699	0.5521	0.5608	0.9697
0.0779	18.0	522	0.1581	0.5062	0.6354	0.5635	0.9665
0.0779	19.0	551	0.1545	0.5312	0.6198	0.5721	0.9671
0.0779	20.0	580	0.1580	0.5870	0.5625	0.5745	0.9711
0.0779	21.0	609	0.1615	0.5498	0.6042	0.5757	0.9692
0.0779	22.0	638	0.1607	0.5289	0.6198	0.5707	0.9678
0.0779	23.0	667	0.1648	0.5619	0.5677	0.5648	0.9687
0.0779	24.0	696	0.1686	0.5459	0.5885	0.5664	0.9677
0.0779	25.0	725	0.1659	0.5463	0.5833	0.5642	0.9680
0.0779	26.0	754	0.1668	0.5567	0.5885	0.5722	0.9694
0.0779	27.0	783	0.1681	0.5392	0.6094	0.5721	0.9684
0.0779	28.0	812	0.1693	0.5534	0.5938	0.5729	0.9690
0.0779	29.0	841	0.1723	0.5441	0.5781	0.5606	0.9684
0.0779	30.0	870	0.1710	0.5308	0.5833	0.5558	0.9680
0.0779	31.0	899	0.1718	0.5388	0.5781	0.5578	0.9684
0.0779	32.0	928	0.1719	0.5388	0.5781	0.5578	0.9685

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

cuadron11/modelBeto

modelBeto

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cuadron11/
modelBeto