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  1. README.md +73 -0
  2. generation_config.json +5 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: riotu-lab/ArabianGPT-01B
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - bleu
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+ - rouge
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+ model-index:
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+ - name: res_nw_eg
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+ results: []
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+ ---
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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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+
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+ # res_nw_eg
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+
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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: 0.7974
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+ - Bleu: 0.2491
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+ - Rouge1: 0.6112
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+ - Rouge2: 0.3654
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+ - Rougel: 0.6074
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 20.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | Rougel |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|
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+ | 1.1436 | 1.0 | 7107 | 0.8277 | 0.1900 | 0.5212 | 0.2576 | 0.5169 |
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+ | 0.7508 | 2.0 | 14214 | 0.7543 | 0.2214 | 0.5674 | 0.3108 | 0.5636 |
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+ | 0.6471 | 3.0 | 21321 | 0.7338 | 0.2375 | 0.5881 | 0.3356 | 0.5845 |
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+ | 0.5713 | 4.0 | 28428 | 0.7316 | 0.2459 | 0.6017 | 0.3519 | 0.5983 |
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+ | 0.5097 | 5.0 | 35535 | 0.7390 | 0.2475 | 0.6058 | 0.3572 | 0.6022 |
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+ | 0.4573 | 6.0 | 42642 | 0.7483 | 0.2503 | 0.6103 | 0.3618 | 0.6066 |
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+ | 0.4118 | 7.0 | 49749 | 0.7636 | 0.2494 | 0.6106 | 0.3634 | 0.6070 |
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+ | 0.3725 | 8.0 | 56856 | 0.7796 | 0.2507 | 0.6127 | 0.3660 | 0.6089 |
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+ | 0.3375 | 9.0 | 63963 | 0.7974 | 0.2491 | 0.6112 | 0.3654 | 0.6074 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "eos_token_id": 64000,
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+ "transformers_version": "4.45.0.dev0"
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+ }
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