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esm2_t12_35M-lora-binding-sites_2024-04-25_17-02-01

PEFT
Safetensors
Generated from Trainer
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  2. adapter_model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: mit
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: facebook/esm2_t12_35M_UR50D
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: esm2_t12_35M-lora-binding-sites_2024-04-25_17-02-01
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # esm2_t12_35M-lora-binding-sites_2024-04-25_17-02-01
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+
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+ This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3783
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+ - Accuracy: 0.8613
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0005701568055793089
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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+ - seed: 8893
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - num_epochs: 30
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.6443 | 1.0 | 24 | 0.6716 | 0.5977 |
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+ | 0.6838 | 2.0 | 48 | 0.6690 | 0.5977 |
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+ | 0.5906 | 3.0 | 72 | 0.6440 | 0.5977 |
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+ | 0.585 | 4.0 | 96 | 0.5897 | 0.7012 |
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+ | 0.6142 | 5.0 | 120 | 0.5522 | 0.6992 |
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+ | 0.61 | 6.0 | 144 | 0.5307 | 0.7148 |
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+ | 0.5131 | 7.0 | 168 | 0.5134 | 0.75 |
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+ | 0.365 | 8.0 | 192 | 0.4437 | 0.8105 |
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+ | 0.4282 | 9.0 | 216 | 0.4010 | 0.8379 |
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+ | 0.3102 | 10.0 | 240 | 0.3643 | 0.8516 |
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+ | 0.41 | 11.0 | 264 | 0.3624 | 0.8652 |
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+ | 0.317 | 12.0 | 288 | 0.3877 | 0.8145 |
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+ | 0.2332 | 13.0 | 312 | 0.3383 | 0.8672 |
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+ | 0.2698 | 14.0 | 336 | 0.3389 | 0.8672 |
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+ | 0.1326 | 15.0 | 360 | 0.3548 | 0.8535 |
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+ | 0.1187 | 16.0 | 384 | 0.3313 | 0.8770 |
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+ | 0.1597 | 17.0 | 408 | 0.3447 | 0.8652 |
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+ | 0.1886 | 18.0 | 432 | 0.3543 | 0.8672 |
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+ | 0.1883 | 19.0 | 456 | 0.3396 | 0.875 |
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+ | 0.1156 | 20.0 | 480 | 0.3510 | 0.8652 |
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+ | 0.2604 | 21.0 | 504 | 0.3529 | 0.875 |
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+ | 0.1104 | 22.0 | 528 | 0.3654 | 0.8711 |
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+ | 0.1723 | 23.0 | 552 | 0.3631 | 0.8691 |
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+ | 0.1516 | 24.0 | 576 | 0.3719 | 0.8633 |
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+ | 0.0731 | 25.0 | 600 | 0.3745 | 0.8672 |
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+ | 0.1381 | 26.0 | 624 | 0.3765 | 0.8691 |
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+ | 0.291 | 27.0 | 648 | 0.3760 | 0.8613 |
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+ | 0.0924 | 28.0 | 672 | 0.3789 | 0.8633 |
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+ | 0.2029 | 29.0 | 696 | 0.3783 | 0.8594 |
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+ | 0.242 | 30.0 | 720 | 0.3783 | 0.8613 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.0
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+ - Transformers 4.39.3
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+ - Pytorch 2.2.1
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.2
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