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distilbert_sa_GLUE_Experiment_mnli
gokuls/distilbert_sa_GLUE_Experiment_mnli
distilbert_sa_GLUE_Experiment_mnli is a text classification model from gokuls. 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
- distilbert
- Access
- Public
- Created
- Jan 20, 2023
- Updated
- Jan 25, 2023
- SHA
- 676f7044
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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. -->
distilbert_sa_GLUE_Experiment_mnli
This model is a fine-tuned version of distilbert-base-uncased on the GLUE MNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.7995
- Accuracy: 0.6565
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
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9882 | 1.0 | 1534 | 0.9194 | 0.5707 |
| 0.8859 | 2.0 | 3068 | 0.8623 | 0.6074 |
| 0.8254 | 3.0 | 4602 | 0.8507 | 0.6187 |
| 0.7672 | 4.0 | 6136 | 0.8192 | 0.6343 |
| 0.7114 | 5.0 | 7670 | 0.8120 | 0.6508 |
| 0.6566 | 6.0 | 9204 | 0.8250 | 0.6511 |
| 0.6012 | 7.0 | 10738 | 0.8666 | 0.6463 |
| 0.543 | 8.0 | 12272 | 0.8760 | 0.6572 |
| 0.4849 | 9.0 | 13806 | 0.9465 | 0.6579 |
| 0.429 | 10.0 | 15340 | 0.9820 | 0.6493 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Jan 20, 2023
- Updated
- Jan 25, 2023