esm2_t12_35M_UR50D-crystallization-finetuned-localization
This model is a fine-tuned version of facebook/esm2_t12_35M_UR50D on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7419
- F1: 0.5791
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 | 0.4285 | 0.4983 |
0.4409 | 2.0 | 534 | 0.4159 | 0.6386 |
0.4409 | 3.0 | 801 | 0.4282 | 0.5989 |
0.2942 | 4.0 | 1068 | 0.4542 | 0.6102 |
0.2942 | 5.0 | 1335 | 0.5155 | 0.5899 |
0.1774 | 6.0 | 1602 | 0.5666 | 0.6126 |
0.1774 | 7.0 | 1869 | 0.6379 | 0.6039 |
0.0999 | 8.0 | 2136 | 0.6942 | 0.5822 |
0.0999 | 9.0 | 2403 | 0.7298 | 0.5822 |
0.0631 | 10.0 | 2670 | 0.7419 | 0.5791 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Downloads last month
- 14
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.