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MeMo_BERT-SA_1

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  1. README.md +76 -0
  2. model.safetensors +1 -1
  3. runs/Mar15_10-44-40_460c4293bb46/events.out.tfevents.1710501197.460c4293bb46.1677.3 +3 -0
README.md ADDED
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+ ---
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+ base_model: MiMe-MeMo/MeMo-BERT-01
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: MeMo_BERT-SA_1
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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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+ # MeMo_BERT-SA_1
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+
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+ This model is a fine-tuned version of [MiMe-MeMo/MeMo-BERT-01](https://huggingface.co/MiMe-MeMo/MeMo-BERT-01) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7236
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+ - F1-score: 0.5887
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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: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1-score |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 265 | 1.0173 | 0.4110 |
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+ | 0.9885 | 2.0 | 530 | 0.9694 | 0.5053 |
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+ | 0.9885 | 3.0 | 795 | 1.1486 | 0.4695 |
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+ | 0.7354 | 4.0 | 1060 | 1.1729 | 0.5363 |
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+ | 0.7354 | 5.0 | 1325 | 1.2851 | 0.5822 |
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+ | 0.4299 | 6.0 | 1590 | 1.7236 | 0.5887 |
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+ | 0.4299 | 7.0 | 1855 | 2.3852 | 0.5426 |
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+ | 0.2854 | 8.0 | 2120 | 2.7498 | 0.5503 |
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+ | 0.2854 | 9.0 | 2385 | 3.1832 | 0.5475 |
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+ | 0.1251 | 10.0 | 2650 | 3.3652 | 0.5563 |
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+ | 0.1251 | 11.0 | 2915 | 3.4598 | 0.5594 |
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+ | 0.0711 | 12.0 | 3180 | 3.5185 | 0.5499 |
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+ | 0.0711 | 13.0 | 3445 | 3.5487 | 0.5578 |
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+ | 0.0328 | 14.0 | 3710 | 3.8292 | 0.5437 |
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+ | 0.0328 | 15.0 | 3975 | 3.8419 | 0.5517 |
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+ | 0.013 | 16.0 | 4240 | 3.9292 | 0.5496 |
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+ | 0.0089 | 17.0 | 4505 | 3.9444 | 0.5684 |
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+ | 0.0089 | 18.0 | 4770 | 4.0013 | 0.5659 |
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+ | 0.0025 | 19.0 | 5035 | 4.0913 | 0.5675 |
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+ | 0.0025 | 20.0 | 5300 | 4.0899 | 0.5653 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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