SciBLOOM-ft-TweetAreas-ES – AI Model by alecmontero | AlphaNeural AI

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alecmontero/
SciBLOOM-ft-TweetAreas-ES

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text-classification

generated_from_trainer

bigscience/bloom-560m

bigscience-bloom-rail-1.0

autotrain_compatible

text-generation-inference

endpoints_compatible

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SciBLOOM-ft-TweetAreas-ES

This model is a fine-tuned version of bigscience/bloom-560m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4180
Roc Auc: 0.8398
Hamming Loss: 0.0450
F1 Score: 0.7555
Accuracy: 0.4712
Precision: 0.8527
Recall: 0.7085

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Roc Auc	Hamming Loss	F1 Score	Accuracy	Precision	Recall
0.2275	1.0	747	0.3007	0.7245	0.0797	0.5268	0.2838	0.8290	0.4840
0.1338	2.0	1494	0.2027	0.7985	0.0611	0.6307	0.3788	0.7336	0.6296
0.1244	3.0	2241	0.1917	0.7985	0.0564	0.6552	0.4070	0.7901	0.6354
0.0459	4.0	2988	0.2264	0.8247	0.0535	0.7187	0.4110	0.8199	0.6832
0.046	5.0	3735	0.2932	0.8103	0.0541	0.6862	0.4003	0.8026	0.6552
0.0305	6.0	4482	0.3364	0.8318	0.0509	0.7236	0.4378	0.8015	0.7008
0.0075	7.0	5229	0.4112	0.8326	0.0482	0.7348	0.4418	0.8164	0.6929
0.001	8.0	5976	0.3984	0.8358	0.0466	0.7507	0.4538	0.8501	0.7022
0.0	9.0	6723	0.4134	0.8448	0.0454	0.7591	0.4712	0.8447	0.7198
0.0	10.0	7470	0.4180	0.8398	0.0450	0.7555	0.4712	0.8527	0.7085

Framework versions

Transformers 4.43.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1