End of training
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README.md
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---
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base_model: makhataei/qa-persian-xlm-roberta-large
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tags:
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- generated_from_trainer
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model-index:
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- name: qa-persian-xlm-roberta-large
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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-persian-xlm-roberta-large
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This model is a fine-tuned version of [makhataei/qa-persian-xlm-roberta-large](https://huggingface.co/makhataei/qa-persian-xlm-roberta-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.7315
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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: 1e-05
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- train_batch_size: 14
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- eval_batch_size: 14
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 5.2924 | 1.0 | 202 | 5.7315 |
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| 5.2476 | 2.0 | 404 | 5.7315 |
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| 5.3367 | 3.0 | 606 | 5.7315 |
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| 5.4161 | 4.0 | 808 | 5.7315 |
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| 5.4338 | 5.0 | 1010 | 5.7315 |
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| 5.44 | 6.0 | 1212 | 5.7315 |
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| 5.4466 | 7.0 | 1414 | 5.7315 |
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| 5.4327 | 8.0 | 1616 | 5.7315 |
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| 5.4637 | 9.0 | 1818 | 5.7315 |
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| 5.4405 | 10.0 | 2020 | 5.7315 |
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.1.0+cu121
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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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