esm2_t12_35M_UR50D-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:
- eval_loss: 0.2182
- eval_accuracy: 0.9345
- eval_runtime: 1227.8079
- eval_samples_per_second: 1.045
- eval_steps_per_second: 0.131
- epoch: 1.0
- step: 482
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: 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: 3
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for manfred-seiwald/esm2_t12_35M_UR50D-finetuned-localization
Base model
facebook/esm2_t12_35M_UR50D