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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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datasets: |
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- imvladikon/parashoot |
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model-index: |
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- name: hebert_parashoot |
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results: [] |
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language: |
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- he |
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metrics: |
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- f1 |
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- exact_match |
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pipeline_tag: question-answering |
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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_parashoot |
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This model is a fine-tuned version of [avichr/heBERT](https://huggingface.co/avichr/heBERT) on the [imvladikon/parashoot](https://huggingface.co/datasets/imvladikon/parashoot) dataset. |
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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: 3e-05 |
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- train_batch_size: 4 |
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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: 5.0 |
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### Training results |
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results: |
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``` |
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{ |
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"epoch": 5.0, |
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"eval_exact_match": 18.099547511312217, |
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"eval_f1": 36.8601893452485, |
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"eval_runtime": 6.7527, |
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"eval_samples": 249, |
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"eval_samples_per_second": 36.874, |
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"eval_steps_per_second": 4.739 |
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} |
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``` |
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(which reflects with results from the https://arxiv.org/pdf/2109.11314.pdf : F1: 36.7, EM: 18.2) |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.2 |
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- Tokenizers 0.13.3 |
