Model save
Browse files- README.md +92 -0
- adapter_model.safetensors +1 -1
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_t30_150M_UR50D
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metrics:
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- accuracy
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model-index:
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- name: esm2_t130_150M-lora-classifier_2024-04-25_23-13-58
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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_t130_150M-lora-classifier_2024-04-25_23-13-58
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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: 0.4754
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- Accuracy: 0.8809
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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: 12
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- eval_batch_size: 12
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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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- mixed_precision_training: Native AMP
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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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| 0.587 | 1.0 | 128 | 0.6443 | 0.5957 |
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| 0.4373 | 2.0 | 256 | 0.6115 | 0.6699 |
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| 0.3057 | 3.0 | 384 | 0.4991 | 0.7812 |
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| 0.2758 | 4.0 | 512 | 0.4353 | 0.8242 |
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| 0.4801 | 5.0 | 640 | 0.3155 | 0.8691 |
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| 0.2161 | 6.0 | 768 | 0.3821 | 0.8301 |
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| 0.178 | 7.0 | 896 | 0.2889 | 0.875 |
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| 0.3202 | 8.0 | 1024 | 0.2716 | 0.8945 |
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| 0.192 | 9.0 | 1152 | 0.3002 | 0.8848 |
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| 0.0997 | 10.0 | 1280 | 0.3142 | 0.8828 |
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| 0.0146 | 11.0 | 1408 | 0.3388 | 0.8965 |
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| 0.0777 | 12.0 | 1536 | 0.4100 | 0.8711 |
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| 0.0337 | 13.0 | 1664 | 0.3152 | 0.8848 |
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| 0.4337 | 14.0 | 1792 | 0.4699 | 0.8848 |
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| 0.2544 | 15.0 | 1920 | 0.3347 | 0.8867 |
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| 0.0166 | 16.0 | 2048 | 0.4547 | 0.8770 |
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| 0.0084 | 17.0 | 2176 | 0.3627 | 0.8867 |
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| 0.3829 | 18.0 | 2304 | 0.3663 | 0.8887 |
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| 0.096 | 19.0 | 2432 | 0.3994 | 0.8848 |
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| 0.017 | 20.0 | 2560 | 0.4222 | 0.8867 |
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| 0.0093 | 21.0 | 2688 | 0.4519 | 0.8906 |
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| 0.0035 | 22.0 | 2816 | 0.4575 | 0.8828 |
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| 0.0072 | 23.0 | 2944 | 0.4675 | 0.8828 |
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| 0.0306 | 24.0 | 3072 | 0.4675 | 0.8867 |
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| 0.1433 | 25.0 | 3200 | 0.4795 | 0.8828 |
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| 0.0073 | 26.0 | 3328 | 0.4755 | 0.8789 |
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| 0.3764 | 27.0 | 3456 | 0.4759 | 0.8809 |
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| 0.02 | 28.0 | 3584 | 0.4723 | 0.8828 |
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| 0.0061 | 29.0 | 3712 | 0.4736 | 0.8809 |
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| 0.0042 | 30.0 | 3840 | 0.4754 | 0.8809 |
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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
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 3514768
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version https://git-lfs.github.com/spec/v1
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oid sha256:f5003f69de5236da49ed65d5c64058e641b7329e663c4adde8f0e358c210156a
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size 3514768
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