Downloads · 30 days
10
37% of all-time downloads
bert_adaptation_peppa_pig
Rodrig0rtiz/bert_adaptation_peppa_pig
bert_adaptation_peppa_pig is a fill-mask model from Rodrig0rtiz. 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. --
All-time downloads
27
Public
Parameters
110M
440 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors440 MB · 100%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Nov 25, 2023
- Updated
- Nov 25, 2023
- SHA
- 528e45fb
Try a prompt
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: 2.1770
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 |
|---|---|---|---|
| 2.1991 | 1.0 | 35 | 2.2332 |
| 2.1524 | 2.0 | 70 | 2.0712 |
| 1.9057 | 3.0 | 105 | 2.0536 |
| 1.8771 | 4.0 | 140 | 2.1396 |
| 1.884 | 5.0 | 175 | 2.0269 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Nov 25, 2023
- Updated
- Nov 25, 2023