Downloads · 30 days
7
21% of all-time downloads
Raghav_wikitext_pretrained-bert
Raghavender/Raghav_wikitext_pretrained-bert
Raghav_wikitext_pretrained-bert is a machine learning model from Raghavender. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
probably proofread and complete it, then remove this comment. --
All-time downloads
34
Public
Repo size
527 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.h5527 MB · 100%
At a glance
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Nov 22, 2023
- Updated
- Nov 22, 2023
- SHA
- 47affd49
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
Raghav_wikitext_pretrained-bert
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 8.4776
- Validation Loss: 8.6217
- Epoch: 0
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:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 1e-04, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 8.4776 | 8.6217 | 0 |
Framework versions
- Transformers 4.36.0.dev0
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- bert
- Created
- Nov 22, 2023
- Updated
- Nov 22, 2023