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bert_uncased_L-4_H-128_A-2_mnli
gokulsrinivasagan/bert_uncased_L-4_H-128_A-2_mnli
bert_uncased_L-4_H-128_A-2_mnli is a text classification model from gokulsrinivasagan. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024
- SHA
- 7a6efb68
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Base models
Datasets
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_uncased_L-4_H-128_A-2_mnli
This model is a fine-tuned version of google/bert_uncased_L-4_H-128_A-2 on the GLUE MNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.6425
- Accuracy: 0.7331
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: 256
- eval_batch_size: 256
- seed: 10
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8752 | 1.0 | 1534 | 0.7743 | 0.6558 |
| 0.7714 | 2.0 | 3068 | 0.7263 | 0.6857 |
| 0.7255 | 3.0 | 4602 | 0.6946 | 0.7020 |
| 0.6927 | 4.0 | 6136 | 0.6789 | 0.7087 |
| 0.6662 | 5.0 | 7670 | 0.6657 | 0.7205 |
| 0.6441 | 6.0 | 9204 | 0.6691 | 0.7229 |
| 0.625 | 7.0 | 10738 | 0.6622 | 0.7258 |
| 0.607 | 8.0 | 12272 | 0.6531 | 0.7314 |
| 0.5894 | 9.0 | 13806 | 0.6613 | 0.7308 |
| 0.5754 | 10.0 | 15340 | 0.6591 | 0.7293 |
| 0.5615 | 11.0 | 16874 | 0.6635 | 0.7287 |
| 0.5477 | 12.0 | 18408 | 0.6701 | 0.7344 |
| 0.5343 | 13.0 | 19942 | 0.6699 | 0.7343 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024