mi-clase-hoy23
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.3553
- eval_accuracy: 0.525
- eval_runtime: 1.1297
- eval_samples_per_second: 35.407
- eval_steps_per_second: 4.426
- epoch: 2.88
- step: 360
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: 8
- 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
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for ctutiven/mi-clase-hoy23
Base model
google-bert/bert-base-cased