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thetkrans/
ft_v2_checkpoints

Name: ft_v2_checkpoints
Availability: InStock

generated_from_trainer

dccuchile/bert-base-spanish-wwm-cased

finetune

endpoints_compatible

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ft_v2_checkpoints

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: 1.6632
Accuracy: 0.6
F1: 0.5355

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: 16
eval_batch_size: 32
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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.0665	1.0	50	0.9966	0.58	0.4487
0.8694	2.0	100	0.9078	0.58	0.5404
0.6200	3.0	150	1.3050	0.585	0.4621
0.3725	4.0	200	1.1463	0.63	0.5754
0.3001	5.0	250	1.3465	0.6	0.5454
0.1515	6.0	300	1.6632	0.6	0.5355

Framework versions

Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

thetkrans/ft_v2_checkpoints

ft_v2_checkpoints

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

thetkrans/
ft_v2_checkpoints