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Pablo94/roberta-base-bne-finetuned-detests-02-11-2022

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face

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roberta-base-bne-finetuned-detests-02-11-2022

This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the None dataset. It achieves the following results on the evaluation set:

—Loss: 0.8124
—F1: 0.6381

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
—trainbatchsize: 64
—evalbatchsize: 64
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.379	0.64	25	0.4136	0.0
0.315	1.28	50	0.3663	0.6343
0.3228	1.92	75	0.3424	0.6386
0.1657	2.56	100	0.5133	0.5385
0.108	3.21	125	0.4766	0.6452
0.0631	3.85	150	0.6063	0.6083
0.0083	4.49	175	0.6200	0.6198
0.0032	5.13	200	0.6508	0.6335
0.0047	5.77	225	0.6877	0.6269
0.0018	6.41	250	0.7745	0.6148
0.0014	7.05	275	0.7741	0.6299
0.001	7.69	300	0.7896	0.6381
0.0011	8.33	325	0.8008	0.6381
0.0008	8.97	350	0.8086	0.6381
0.0009	9.62	375	0.8124	0.6381

Framework versions

—Transformers 4.24.0
—Pytorch 1.12.1+cu113
—Datasets 2.6.1
—Tokenizers 0.13.1