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End of training

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README.md ADDED
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+ ---
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+ base_model: avichr/heBERT
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: heBERT-finetuned-samaritan
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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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+ # heBERT-finetuned-samaritan
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+
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+ This model is a fine-tuned version of [avichr/heBERT](https://huggingface.co/avichr/heBERT) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.0412
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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: 64
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+ - eval_batch_size: 64
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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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+ - mixed_precision_training: Native AMP
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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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+ | 4.875 | 1.0 | 118 | 4.5078 |
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+ | 4.5415 | 2.0 | 236 | 4.4287 |
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+ | 4.3991 | 3.0 | 354 | 4.2731 |
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+ | 4.3072 | 4.0 | 472 | 4.2191 |
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+ | 4.2421 | 5.0 | 590 | 4.1209 |
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+ | 4.2013 | 6.0 | 708 | 4.0951 |
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+ | 4.1624 | 7.0 | 826 | 4.0689 |
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+ | 4.1062 | 8.0 | 944 | 4.0910 |
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+ | 4.1 | 9.0 | 1062 | 4.0374 |
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+ | 4.0738 | 10.0 | 1180 | 4.0750 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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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": "4.40.1"
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+ }
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