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esm2_t30_150M_UR50D-crystallization-finetuned-localization
raghvendramall/esm2_t30_150M_UR50D-crystallization-finetuned-localization
esm2_t30_150M_UR50D-crystallization-finetuned-localization is a text classification model from raghvendramall. 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
- esm
- Access
- Public
- Created
- Jun 15, 2023
- Updated
- Jun 15, 2023
- SHA
- 895bbdb6
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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. -->
esm2_t30_150M_UR50D-crystallization-finetuned-localization
This model is a fine-tuned version of facebook/esm2_t30_150M_UR50D on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4161
- F1: 0.5994
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.3948 | 1.0 | 1065 | 0.3929 | 0.6516 |
| 0.2678 | 2.0 | 2130 | 0.4647 | 0.6237 |
| 0.1524 | 3.0 | 3195 | 0.6984 | 0.6356 |
| 0.072 | 4.0 | 4260 | 0.9448 | 0.6312 |
| 0.0341 | 5.0 | 5325 | 1.1157 | 0.6099 |
| 0.0145 | 6.0 | 6390 | 1.2051 | 0.6144 |
| 0.0079 | 7.0 | 7455 | 1.3259 | 0.6149 |
| 0.007 | 8.0 | 8520 | 1.3418 | 0.6008 |
| 0.0027 | 9.0 | 9585 | 1.3921 | 0.6001 |
| 0.0014 | 10.0 | 10650 | 1.4161 | 0.5994 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- esm
- License
- mit
- Created
- Jun 15, 2023
- Updated
- Jun 15, 2023