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nlparabic
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res_nw_gulf

Safetensors
gpt2
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  1. README.md +16 -21
  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: 0.4183
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- - Bleu: 0.2374
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- - Rouge1: 0.6213
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- - Rouge2: 0.3630
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- - Rougel: 0.6195
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  ## Model description
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@@ -52,22 +52,17 @@ The following hyperparameters were used during training:
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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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- | 1.9575 | 1.0 | 838 | 0.1790 | 0.4805 | 0.5301 | 0.2585 | 0.5287 |
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- | 0.422 | 2.0 | 1676 | 0.2112 | 0.4327 | 0.5789 | 0.3115 | 0.5778 |
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- | 0.331 | 3.0 | 2514 | 0.2289 | 0.4185 | 0.6067 | 0.3463 | 0.6056 |
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- | 0.2638 | 4.0 | 3352 | 0.2374 | 0.4183 | 0.6213 | 0.3630 | 0.6195 |
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- | 0.2131 | 5.0 | 4190 | 0.2423 | 0.4248 | 0.6280 | 0.3719 | 0.6265 |
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- | 0.1756 | 6.0 | 5028 | 0.2511 | 0.4323 | 0.6329 | 0.3818 | 0.6312 |
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- | 0.148 | 7.0 | 5866 | 0.2458 | 0.4369 | 0.6347 | 0.3891 | 0.6327 |
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- | 0.1285 | 8.0 | 6704 | 0.2499 | 0.4448 | 0.6380 | 0.3885 | 0.6368 |
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- | 0.1152 | 9.0 | 7542 | 0.2539 | 0.4525 | 0.6407 | 0.3977 | 0.6393 |
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- | 0.105 | 10.0 | 8380 | 0.4590 | 0.2555 | 0.6441 | 0.3998 | 0.6426 |
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- | 0.0982 | 11.0 | 9218 | 0.4646 | 0.2580 | 0.6455 | 0.4019 | 0.6445 |
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- | 0.0936 | 12.0 | 10056 | 0.4702 | 0.2572 | 0.6457 | 0.4046 | 0.6446 |
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- | 0.0899 | 13.0 | 10894 | 0.4737 | 0.2577 | 0.6488 | 0.4053 | 0.6478 |
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- | 0.0871 | 14.0 | 11732 | 0.4779 | 0.2606 | 0.6492 | 0.4062 | 0.6482 |
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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: 0.4497
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+ - Bleu: 0.4202
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+ - Rouge1: 0.6498
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+ - Rouge2: 0.3905
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+ - Rougel: 0.6488
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | Rougel |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|
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+ | 1.8893 | 1.0 | 836 | 0.4815 | 0.3818 | 0.5345 | 0.2557 | 0.5335 |
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+ | 0.4211 | 2.0 | 1672 | 0.4301 | 0.3947 | 0.5886 | 0.3084 | 0.5877 |
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+ | 0.3307 | 3.0 | 2508 | 0.4181 | 0.4098 | 0.6130 | 0.3382 | 0.6119 |
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+ | 0.2641 | 4.0 | 3344 | 0.4179 | 0.4093 | 0.6309 | 0.3587 | 0.6298 |
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+ | 0.2135 | 5.0 | 4180 | 0.4242 | 0.4125 | 0.6373 | 0.3691 | 0.6359 |
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+ | 0.1765 | 6.0 | 5016 | 0.4300 | 0.4156 | 0.6466 | 0.3830 | 0.6453 |
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+ | 0.1492 | 7.0 | 5852 | 0.4348 | 0.4188 | 0.6460 | 0.3852 | 0.6449 |
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+ | 0.1293 | 8.0 | 6688 | 0.4431 | 0.4190 | 0.6493 | 0.3895 | 0.6482 |
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+ | 0.1155 | 9.0 | 7524 | 0.4497 | 0.4202 | 0.6498 | 0.3905 | 0.6488 |
 
 
 
 
 
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  ### Framework versions
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