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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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model-index:
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- name: model_checkpoint
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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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# model_checkpoint
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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: 0.8311
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- Mse: 0.8311
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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: 16
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- eval_batch_size: 16
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mse |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 146 | 1.5425 | 1.5425 |
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| No log | 2.0 | 292 | 1.2182 | 1.2182 |
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| No log | 3.0 | 438 | 1.2270 | 1.2270 |
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| 1.7883 | 4.0 | 584 | 1.0496 | 1.0496 |
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| 1.7883 | 5.0 | 730 | 1.0828 | 1.0828 |
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| 1.7883 | 6.0 | 876 | 0.9050 | 0.9050 |
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| 0.9949 | 7.0 | 1022 | 0.8451 | 0.8451 |
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| 0.9949 | 8.0 | 1168 | 0.9760 | 0.9760 |
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| 0.9949 | 9.0 | 1314 | 0.8303 | 0.8303 |
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| 0.9949 | 10.0 | 1460 | 0.8311 | 0.8311 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.1+cpu
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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