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qa-persian-xlmr-large

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  1. README.md +21 -14
  2. model.safetensors +1 -1
  3. runs/Mar03_05-19-09_c3bd18d56594/events.out.tfevents.1709443151.c3bd18d56594.3825.1 +2 -2
README.md CHANGED
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  ---
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- base_model: m3hrdadfi/xlmr-large-qa-fa
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  tags:
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  - generated_from_trainer
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- datasets:
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- - pquad
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  model-index:
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  - name: qa-persian-xlmr-large
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  results: []
@@ -14,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # qa-persian-xlmr-large
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- This model is a fine-tuned version of [m3hrdadfi/xlmr-large-qa-fa](https://huggingface.co/m3hrdadfi/xlmr-large-qa-fa) on the pquad dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4953
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  ## Model description
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@@ -35,24 +33,33 @@ More information needed
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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: 1
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- - eval_batch_size: 1
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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: 0.01
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.6966 | 0.01 | 640 | 1.4953 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.35.2
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- - Pytorch 2.1.0+cu118
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- - Datasets 2.15.0
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- - Tokenizers 0.15.0
 
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  ---
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+ base_model: makhataei/qa-persian-xlmr-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-xlmr-large
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  results: []
 
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  # qa-persian-xlmr-large
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+ This model is a fine-tuned version of [makhataei/qa-persian-xlmr-large](https://huggingface.co/makhataei/qa-persian-xlmr-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.0366
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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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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+ | 2.0175 | 1.0 | 202 | 1.5773 |
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+ | 1.17 | 2.0 | 404 | 1.7608 |
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+ | 0.6861 | 3.0 | 606 | 2.2780 |
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+ | 0.4457 | 4.0 | 808 | 2.8859 |
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+ | 0.2626 | 5.0 | 1010 | 3.9207 |
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+ | 0.1862 | 6.0 | 1212 | 4.6119 |
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+ | 0.1264 | 7.0 | 1414 | 4.8694 |
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+ | 0.0786 | 8.0 | 1616 | 4.8824 |
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+ | 0.0566 | 9.0 | 1818 | 4.9686 |
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+ | 0.0571 | 10.0 | 2020 | 5.0366 |
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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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