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esm2_t6_8M_UR50D-crystallization-finetuned-localization
raghvendramall/esm2_t6_8M_UR50D-crystallization-finetuned-localization
esm2_t6_8M_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
- May 23, 2023
- Updated
- Jun 15, 2023
- SHA
- ce74216f
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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_t6_8M_UR50D-crystallization-finetuned-localization
This model is a fine-tuned version of facebook/esm2_t6_8M_UR50D on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4286
- F1: 0.6192
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 267 | 0.4463 | 0.4978 |
| 0.4639 | 2.0 | 534 | 0.4197 | 0.6117 |
| 0.4639 | 3.0 | 801 | 0.4122 | 0.6221 |
| 0.3671 | 4.0 | 1068 | 0.4069 | 0.6219 |
| 0.3671 | 5.0 | 1335 | 0.4059 | 0.6069 |
| 0.313 | 6.0 | 1602 | 0.4115 | 0.6238 |
| 0.313 | 7.0 | 1869 | 0.4154 | 0.6285 |
| 0.2764 | 8.0 | 2136 | 0.4200 | 0.6182 |
| 0.2764 | 9.0 | 2403 | 0.4288 | 0.5987 |
| 0.2463 | 10.0 | 2670 | 0.4286 | 0.6192 |
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
- May 23, 2023
- Updated
- Jun 15, 2023