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  1. README.md +18 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [riotu-lab/ArabianGPT-01B](https://huggingface.co/riotu-lab/ArabianGPT-01B) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6499
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- - Bleu: 0.2518
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- - Rouge1: 0.5702
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- - Rouge2: 0.3118
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- - Rougel: 0.5677
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  ## Model description
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@@ -48,15 +48,22 @@ The following hyperparameters were used during training:
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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_steps: 500
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- - num_epochs: 3.0
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  ### Training results
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- | Training Loss | Epoch | Step | Bleu | Validation Loss | Rouge1 | Rouge2 | Rougel |
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- |:-------------:|:-----:|:----:|:------:|:---------------:|:------:|:------:|:------:|
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- | 1.2513 | 1.0 | 2703 | 0.2201 | 0.7112 | 0.5172 | 0.2533 | 0.5148 |
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- | 0.6462 | 2.0 | 5406 | 0.2451 | 0.6569 | 0.5579 | 0.2974 | 0.5553 |
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- | 0.5673 | 3.0 | 8109 | 0.2518 | 0.6499 | 0.5702 | 0.3118 | 0.5677 |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [riotu-lab/ArabianGPT-01B](https://huggingface.co/riotu-lab/ArabianGPT-01B) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6658
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+ - Bleu: 0.2770
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+ - Rouge1: 0.6173
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+ - Rouge2: 0.3729
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+ - Rougel: 0.6153
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  ## Model description
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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_steps: 500
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+ - num_epochs: 20.0
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  ### Training results
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+ | Training Loss | Epoch | Step | Bleu | Validation Loss | Rouge1 | Rouge2 | Rougel |
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+ |:-------------:|:-----:|:-----:|:------:|:---------------:|:------:|:------:|:------:|
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+ | 1.2513 | 1.0 | 2703 | 0.2201 | 0.7112 | 0.5172 | 0.2533 | 0.5148 |
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+ | 0.6462 | 2.0 | 5406 | 0.2451 | 0.6569 | 0.5579 | 0.2974 | 0.5553 |
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+ | 0.5673 | 3.0 | 8109 | 0.2518 | 0.6499 | 0.5702 | 0.3118 | 0.5677 |
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+ | 0.556 | 4.0 | 10812 | 0.6330 | 0.2598 | 0.5829 | 0.3262 | 0.5807 |
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+ | 0.4786 | 5.0 | 13515 | 0.6266 | 0.2679 | 0.5977 | 0.3443 | 0.5959 |
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+ | 0.4123 | 6.0 | 16218 | 0.6303 | 0.2707 | 0.6044 | 0.3548 | 0.6027 |
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+ | 0.3573 | 7.0 | 18921 | 0.6372 | 0.2739 | 0.6108 | 0.3631 | 0.6088 |
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+ | 0.3108 | 8.0 | 21624 | 0.6466 | 0.2760 | 0.6130 | 0.3678 | 0.6112 |
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+ | 0.2719 | 9.0 | 24327 | 0.6551 | 0.2802 | 0.6178 | 0.3727 | 0.6159 |
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+ | 0.2396 | 10.0 | 27030 | 0.6658 | 0.2770 | 0.6173 | 0.3729 | 0.6153 |
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  ### Framework versions
model.safetensors CHANGED
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