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bert_adaptation_peppa_pig
jbarsce/bert_adaptation_peppa_pig
bert_adaptation_peppa_pig is a fill-mask model from jbarsce. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Sep 26, 2024
- Updated
- Sep 26, 2024
- SHA
- ce4ce3f3
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bert_adaptation_peppa_pig
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1918
- Model Preparation Time: 0.0034
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
|---|---|---|---|---|
| 3.8491 | 1.0 | 35 | 3.5267 | 0.0034 |
| 2.9171 | 2.0 | 70 | 2.8543 | 0.0034 |
| 2.5071 | 3.0 | 105 | 2.9192 | 0.0034 |
| 2.3516 | 4.0 | 140 | 2.4476 | 0.0034 |
| 2.3696 | 5.0 | 175 | 2.7447 | 0.0034 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.20.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Sep 26, 2024
- Updated
- Sep 26, 2024