Analisis-sentimientos-XLM-Roberta-TASS-C – AI Model by raulgdp | AlphaNeural AI

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raulgdp/
Analisis-sentimientos-XLM-Roberta-TASS-C

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text-classification

generated_from_trainer

cardiffnlp/twitter-xlm-roberta-base-sentiment

autotrain_compatible

endpoints_compatible

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Analisis-sentimientos-XLM-Roberta-TASS-C

This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.9503
F1-score: 0.6139

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1-score
0.9136	1.0	241	0.8427	0.6223
0.6957	2.0	482	0.9260	0.6046
0.4825	3.0	723	1.1533	0.6004
0.299	4.0	964	1.2836	0.5952
0.2142	5.0	1205	1.5988	0.6160
0.1312	6.0	1446	2.5332	0.5879
0.0899	7.0	1687	2.4297	0.6233
0.0414	8.0	1928	2.7368	0.6129
0.023	9.0	2169	2.9262	0.6160
0.0203	10.0	2410	2.9503	0.6139

Framework versions

Transformers 4.43.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.19.1
Tokenizers 0.19.1