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qa-persian-bert-fa-base-uncased

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  1. README.md +29 -19
  2. model.safetensors +1 -1
  3. runs/Nov25_16-11-55_Software-AI/events.out.tfevents.1700916115.Software-AI.785883.2 +3 -0
  4. runs/Nov25_16-15-31_Software-AI/events.out.tfevents.1700916332.Software-AI.925128.0 +3 -0
  5. runs/Nov25_16-19-09_Software-AI/events.out.tfevents.1700916549.Software-AI.930887.0 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -4,7 +4,7 @@ base_model: makhataei/qa-persian-bert-fa-base-uncased
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  tags:
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  - generated_from_trainer
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  datasets:
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- - persian_qa
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  model-index:
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  - name: qa-persian-bert-fa-base-uncased
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  results: []
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # qa-persian-bert-fa-base-uncased
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- This model is a fine-tuned version of [makhataei/qa-persian-bert-fa-base-uncased](https://huggingface.co/makhataei/qa-persian-bert-fa-base-uncased) on the persian_qa dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.4663
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  ## Model description
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@@ -36,28 +36,38 @@ 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: 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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- | 5.6828 | 1.0 | 644 | 5.4663 |
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- | 5.683 | 2.0 | 1288 | 5.4663 |
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- | 5.6855 | 3.0 | 1932 | 5.4663 |
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- | 5.6848 | 4.0 | 2576 | 5.4663 |
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- | 5.6824 | 5.0 | 3220 | 5.4663 |
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- | 5.6836 | 6.0 | 3864 | 5.4663 |
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- | 5.6855 | 7.0 | 4508 | 5.4663 |
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- | 5.6881 | 8.0 | 5152 | 5.4663 |
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- | 5.681 | 9.0 | 5796 | 5.4663 |
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- | 5.6842 | 10.0 | 6440 | 5.4663 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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-bert-fa-base-uncased
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  results: []
 
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  # qa-persian-bert-fa-base-uncased
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+ This model is a fine-tuned version of [makhataei/qa-persian-bert-fa-base-uncased](https://huggingface.co/makhataei/qa-persian-bert-fa-base-uncased) on the pquad dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.2505
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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: 0.0001
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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: 20
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 5.472 | 1.0 | 4000 | 5.2505 |
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+ | 5.4715 | 2.0 | 8000 | 5.2505 |
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+ | 5.4713 | 3.0 | 12000 | 5.2505 |
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+ | 5.4714 | 4.0 | 16000 | 5.2505 |
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+ | 5.4705 | 5.0 | 20000 | 5.2505 |
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+ | 5.4703 | 6.0 | 24000 | 5.2505 |
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+ | 5.47 | 7.0 | 28000 | 5.2505 |
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+ | 5.4691 | 8.0 | 32000 | 5.2505 |
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+ | 5.4703 | 9.0 | 36000 | 5.2505 |
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+ | 5.4713 | 10.0 | 40000 | 5.2505 |
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+ | 5.47 | 11.0 | 44000 | 5.2505 |
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+ | 5.4714 | 12.0 | 48000 | 5.2505 |
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+ | 5.4712 | 13.0 | 52000 | 5.2505 |
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+ | 5.4705 | 14.0 | 56000 | 5.2505 |
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+ | 5.4706 | 15.0 | 60000 | 5.2505 |
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+ | 5.47 | 16.0 | 64000 | 5.2505 |
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+ | 5.4712 | 17.0 | 68000 | 5.2505 |
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+ | 5.4692 | 18.0 | 72000 | 5.2505 |
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+ | 5.4705 | 19.0 | 76000 | 5.2505 |
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+ | 5.4689 | 20.0 | 80000 | 5.2505 |
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  ### Framework versions
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