End of training
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README.md
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---
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base_model: aubmindlab/araelectra-base-generator
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tags:
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- generated_from_trainer
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model-index:
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- name: QA_FineTuned_AraElectra
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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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# QA_FineTuned_AraElectra
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This model is a fine-tuned version of [aubmindlab/araelectra-base-generator](https://huggingface.co/aubmindlab/araelectra-base-generator) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.7412
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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: 0.0002
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- train_batch_size: 12
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- eval_batch_size: 12
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 48
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.4646 | 0.46 | 10 | 3.6378 |
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| 2.3471 | 0.92 | 20 | 3.7147 |
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| 2.0415 | 1.38 | 30 | 3.5732 |
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| 1.7322 | 1.84 | 40 | 3.6297 |
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| 1.5186 | 2.3 | 50 | 3.7015 |
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| 1.3975 | 2.76 | 60 | 3.7349 |
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| 1.3371 | 3.22 | 70 | 3.6949 |
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| 1.1967 | 3.68 | 80 | 3.7225 |
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| 1.1798 | 4.14 | 90 | 3.8054 |
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| 1.0775 | 4.6 | 100 | 3.7412 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2+cpu
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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