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mlm_v1_20230327_fin_sa_70
intanm/mlm_v1_20230327_fin_sa_70
mlm_v1_20230327_fin_sa_70 is a text classification model from intanm. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Mar 27, 2023
- Updated
- Mar 27, 2023
- SHA
- 61febabc
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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. -->
mlm_v1_20230327_fin_sa_70
This model is a fine-tuned version of intanm/mlm-v1-fin-lm-20230327-001 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1737
- Accuracy: 0.9451
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 72 | 0.2082 | 0.9286 |
| No log | 2.0 | 144 | 0.1737 | 0.9451 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Mar 27, 2023
- Updated
- Mar 27, 2023