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NiGuLa/
dccuchile_bert-base-spanish-wwm-cased_ep10_lr0.0001_batchpergpu16_gpu1_weighted

Name: dccuchile_bert-base-spanish-wwm-cased_ep10_lr0.0001_batchpergpu16_gpu1_weighted
Availability: InStock

generated_from_trainer

dccuchile/bert-base-spanish-wwm-cased

finetune

text-embeddings-inference

endpoints_compatible

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dccuchile_bert-base-spanish-wwm-cased_ep10_lr0.0001_batchpergpu16_gpu1_weighted

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: 0.3416
F1 Micro: 0.6322
F1 Macro: 0.3424
Exact Match: 0.6364

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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Micro	F1 Macro	Exact Match
0.3669	0.9924	131	0.4163	0.6270	0.1983	0.5890
0.3735	1.9848	262	0.3358	0.6627	0.3535	0.6439
0.2932	2.9773	393	0.4210	0.6555	0.2659	0.6799
0.2290	3.9697	524	0.3416	0.6322	0.3424	0.6364

Framework versions

Transformers 5.6.2
Pytorch 2.11.0+cu130
Datasets 4.8.4
Tokenizers 0.22.2

NiGuLa/dccuchile_bert-base-spanish-wwm-cased_ep10_lr0.0001_batchpergpu16_gpu1_weighted

dccuchile_bert-base-spanish-wwm-cased_ep10_lr0.0001_batchpergpu16_gpu1_weighted

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NiGuLa/
dccuchile_bert-base-spanish-wwm-cased_ep10_lr0.0001_batchpergpu16_gpu1_weighted