Monda/marbert-AraHealthQA-t1s1
Browse files- README.md +64 -0
- eval_metrics.json +7 -7
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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base_model: UBC-NLP/MARBERT
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tags:
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- generated_from_trainer
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model-index:
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- name: questions
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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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# questions
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This model is a fine-tuned version of [UBC-NLP/MARBERT](https://huggingface.co/UBC-NLP/MARBERT) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3773
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- Micro F1: 0.6604
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- Weighted F1: 0.5871
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- Jaccard: 0.5857
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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: 16
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Micro F1 | Weighted F1 | Jaccard |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:-------:|
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| 0.5348 | 1.0 | 18 | 0.4242 | 0.6375 | 0.5254 | 0.5017 |
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| 0.4411 | 2.0 | 36 | 0.3905 | 0.6575 | 0.5532 | 0.5821 |
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| 0.4151 | 3.0 | 54 | 0.3773 | 0.6604 | 0.5871 | 0.5857 |
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| 0.3852 | 4.0 | 72 | 0.3773 | 0.6176 | 0.5684 | 0.5476 |
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| 0.3691 | 5.0 | 90 | 0.3732 | 0.6244 | 0.5701 | 0.5524 |
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### Framework versions
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- Transformers 4.52.4
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- Pytorch 2.6.0+cu124
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- Datasets 2.14.4
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- Tokenizers 0.21.1
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eval_metrics.json
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{
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"eval_loss": 0.
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"eval_micro_f1": 0.
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"eval_weighted_f1": 0.
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"eval_jaccard": 0.
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"eval_runtime": 0.
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"eval_samples_per_second":
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"eval_steps_per_second": 16.
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"epoch": 5.0
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}
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{
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"eval_loss": 0.3773249089717865,
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"eval_micro_f1": 0.660377358490566,
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"eval_weighted_f1": 0.587091304787934,
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"eval_jaccard": 0.5857142857142856,
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"eval_runtime": 0.1821,
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"eval_samples_per_second": 384.432,
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"eval_steps_per_second": 16.476,
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"epoch": 5.0
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}
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model.safetensors
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