johnlockejrr
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End of training
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README.md
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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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<!-- 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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# heBERT-finetuned-samaritan
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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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## 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: 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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### Training results
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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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### Framework versions
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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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generation_config.json
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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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model.safetensors
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runs/May03_14-12-00_DESKTOP-H1BS9PO/events.out.tfevents.1714770723.DESKTOP-H1BS9PO.6634.0
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