Model save
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README.md
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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_14-35-31
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results: []
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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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# esm2_t12_35M-lora-binding-sites_2024-04-25_14-35-31
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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: 0.3589
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- Accuracy: 0.8457
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.6703 | 1.0 | 24 | 0.6807 | 0.5820 |
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| 0.6449 | 2.0 | 48 | 0.6703 | 0.5820 |
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| 0.6659 | 3.0 | 72 | 0.6458 | 0.5977 |
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| 0.6432 | 4.0 | 96 | 0.6612 | 0.6328 |
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| 0.6322 | 5.0 | 120 | 0.6051 | 0.6523 |
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| 0.6176 | 6.0 | 144 | 0.6062 | 0.6504 |
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| 0.4904 | 7.0 | 168 | 0.5762 | 0.6777 |
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| 0.4426 | 8.0 | 192 | 0.5784 | 0.6953 |
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| 0.6014 | 9.0 | 216 | 0.5497 | 0.7148 |
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| 0.4484 | 10.0 | 240 | 0.5399 | 0.7227 |
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| 0.552 | 11.0 | 264 | 0.5142 | 0.7480 |
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| 0.3581 | 12.0 | 288 | 0.4395 | 0.7930 |
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| 0.3604 | 13.0 | 312 | 0.4201 | 0.8066 |
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| 0.2733 | 14.0 | 336 | 0.4107 | 0.8262 |
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| 0.2539 | 15.0 | 360 | 0.4373 | 0.8008 |
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| 0.3538 | 16.0 | 384 | 0.3954 | 0.8301 |
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| 0.4363 | 17.0 | 408 | 0.3852 | 0.8320 |
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| 0.3433 | 18.0 | 432 | 0.3735 | 0.8418 |
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| 0.2758 | 19.0 | 456 | 0.3685 | 0.8438 |
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| 0.2073 | 20.0 | 480 | 0.3860 | 0.8262 |
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| 0.3578 | 21.0 | 504 | 0.3689 | 0.8301 |
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| 0.3114 | 22.0 | 528 | 0.3626 | 0.8418 |
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| 0.3296 | 23.0 | 552 | 0.3621 | 0.8438 |
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| 0.276 | 24.0 | 576 | 0.3602 | 0.8457 |
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| 0.2583 | 25.0 | 600 | 0.3622 | 0.8457 |
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| 0.1917 | 26.0 | 624 | 0.3597 | 0.8477 |
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| 0.3588 | 27.0 | 648 | 0.3603 | 0.8477 |
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| 0.219 | 28.0 | 672 | 0.3606 | 0.8438 |
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| 0.3091 | 29.0 | 696 | 0.3586 | 0.8457 |
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| 0.2235 | 30.0 | 720 | 0.3589 | 0.8457 |
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### Framework versions
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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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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1214240
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size 1214240
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runs/Apr25_14-35-31_c0005/events.out.tfevents.1714070132.c0005.706944.17
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version https://git-lfs.github.com/spec/v1
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size
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size 166335
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