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End of training

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  1. README.md +68 -0
  2. generation_config.json +5 -0
  3. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: bert-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bert-base-uncased-finetuned-mol-mlm-0.3
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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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+ # bert-base-uncased-finetuned-mol-mlm-0.3
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+
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7383
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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: 96
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+ - eval_batch_size: 96
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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: 12
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 70 | 1.1518 |
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+ | No log | 2.0 | 140 | 0.9808 |
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+ | 1.2493 | 3.0 | 210 | 0.9117 |
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+ | 1.2493 | 4.0 | 280 | 0.8540 |
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+ | 1.2493 | 5.0 | 350 | 0.8172 |
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+ | 0.8816 | 6.0 | 420 | 0.8098 |
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+ | 0.8816 | 7.0 | 490 | 0.7758 |
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+ | 0.8816 | 8.0 | 560 | 0.7625 |
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+ | 0.7906 | 9.0 | 630 | 0.7569 |
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+ | 0.7906 | 10.0 | 700 | 0.7460 |
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+ | 0.7906 | 11.0 | 770 | 0.7504 |
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+ | 0.7557 | 12.0 | 840 | 0.7353 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.0.dev0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.10.1
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+ - Tokenizers 0.13.3
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.33.0.dev0"
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+ }
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