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esm2_t33_650M_UR50D-finetuned-localization

Text Classification
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esm
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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: facebook/esm2_t33_650M_UR50D
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: esm2_t33_650M_UR50D-finetuned-localization
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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_t33_650M_UR50D-finetuned-localization
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+
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+ This model is a fine-tuned version of [facebook/esm2_t33_650M_UR50D](https://huggingface.co/facebook/esm2_t33_650M_UR50D) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1216
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+ - Rmse: 1.0591
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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: 2e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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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: 25
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rmse |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 226 | 1.2900 | 1.1358 |
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+ | No log | 2.0 | 452 | 1.3499 | 1.1618 |
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+ | 1.1023 | 3.0 | 678 | 1.0602 | 1.0297 |
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+ | 1.1023 | 4.0 | 904 | 1.2692 | 1.1266 |
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+ | 0.4485 | 5.0 | 1130 | 1.3467 | 1.1605 |
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+ | 0.4485 | 6.0 | 1356 | 1.2897 | 1.1356 |
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+ | 0.2574 | 7.0 | 1582 | 1.1185 | 1.0576 |
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+ | 0.2574 | 8.0 | 1808 | 1.2362 | 1.1119 |
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+ | 0.1358 | 9.0 | 2034 | 1.1828 | 1.0876 |
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+ | 0.1358 | 10.0 | 2260 | 1.1376 | 1.0666 |
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+ | 0.1358 | 11.0 | 2486 | 1.3182 | 1.1481 |
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+ | 0.1139 | 12.0 | 2712 | 1.1802 | 1.0864 |
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+ | 0.1139 | 13.0 | 2938 | 1.1709 | 1.0821 |
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+ | 0.0587 | 14.0 | 3164 | 1.1167 | 1.0568 |
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+ | 0.0587 | 15.0 | 3390 | 1.0711 | 1.0350 |
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+ | 0.0369 | 16.0 | 3616 | 1.1464 | 1.0707 |
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+ | 0.0369 | 17.0 | 3842 | 1.1536 | 1.0741 |
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+ | 0.0183 | 18.0 | 4068 | 1.1041 | 1.0507 |
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+ | 0.0183 | 19.0 | 4294 | 1.1113 | 1.0542 |
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+ | 0.0106 | 20.0 | 4520 | 1.1453 | 1.0702 |
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+ | 0.0106 | 21.0 | 4746 | 1.1076 | 1.0524 |
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+ | 0.0106 | 22.0 | 4972 | 1.1358 | 1.0657 |
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+ | 0.0053 | 23.0 | 5198 | 1.1298 | 1.0629 |
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+ | 0.0053 | 24.0 | 5424 | 1.1182 | 1.0575 |
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+ | 0.0007 | 25.0 | 5650 | 1.1216 | 1.0591 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.4
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+ - Pytorch 2.3.1
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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