Model save
Browse files- README.md +65 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: facebook/esm2_t30_150M_UR50D
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: esm2_t30_150M_UR50D-finetuned-localization
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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_t30_150M_UR50D-finetuned-localization
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This model is a fine-tuned version of [facebook/esm2_t30_150M_UR50D](https://huggingface.co/facebook/esm2_t30_150M_UR50D) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4079
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- Accuracy: 0.8236
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- Ppv: 0.8115
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- Npv: 0.8374
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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: 2e-05
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Ppv | Npv |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|
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| No log | 1.0 | 205 | 0.4267 | 0.8023 | 0.7698 | 0.8459 |
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| No log | 2.0 | 410 | 0.4030 | 0.8173 | 0.7968 | 0.8421 |
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| 0.4156 | 3.0 | 615 | 0.3984 | 0.8211 | 0.8099 | 0.8337 |
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| 0.4156 | 4.0 | 820 | 0.4079 | 0.8236 | 0.8115 | 0.8374 |
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### Framework versions
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- Transformers 4.42.3
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 595249204
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version https://git-lfs.github.com/spec/v1
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size 595249204
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