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dalozada/
sarcasm-beto-bs8

Name: sarcasm-beto-bs8
Availability: InStock

generated_from_trainer

dccuchile/bert-base-spanish-wwm-cased

finetune

text-embeddings-inference

endpoints_compatible

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sarcasm-beto-bs8

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5271
Precision: 0.7492
Recall: 0.6313
F1 Macro: 0.6661
Accuracy: 0.9097

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1 Macro	Accuracy
0.5006	1.0	84	0.3352	0.4514	0.5	0.4745	0.9028
0.2792	2.0	168	0.3599	0.4514	0.5	0.4745	0.9028
0.2017	3.0	252	0.3294	0.9545	0.5357	0.5429	0.9097
0.1522	4.0	336	0.3286	0.9610	0.6071	0.6562	0.9236
0.0622	5.0	420	0.3703	0.7971	0.6352	0.6776	0.9167
0.0452	6.0	504	0.4364	0.7492	0.6313	0.6661	0.9097
0.0219	7.0	588	0.4949	0.7132	0.6275	0.6555	0.9028
0.0186	8.0	672	0.5271	0.7492	0.6313	0.6661	0.9097

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2

dalozada/sarcasm-beto-bs8

sarcasm-beto-bs8

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dalozada/
sarcasm-beto-bs8