Model save

README.md

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+---
+license: apache-2.0
+base_model: riotu-lab/ArabianGPT-1.5B
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+- rouge
+model-index:
+- name: res_nw_lev_1.5
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# res_nw_lev_1.5
+
+This model is a fine-tuned version of [riotu-lab/ArabianGPT-1.5B](https://huggingface.co/riotu-lab/ArabianGPT-1.5B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4877
+- Bleu: 0.5358
+- Rouge1: 0.7214
+- Rouge2: 0.5308
+- Rougel: 0.7204
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 20.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Rouge1 | Rouge2 | Rougel |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|
+| 0.9723        | 1.0   | 5062  | 0.5929          | 0.3381 | 0.5352 | 0.2532 | 0.5335 |
+| 0.5372        | 2.0   | 10124 | 0.5345          | 0.3565 | 0.5789 | 0.3004 | 0.5771 |
+| 0.4562        | 3.0   | 15186 | 0.5011          | 0.3724 | 0.6090 | 0.3366 | 0.6075 |
+| 0.3888        | 4.0   | 20248 | 0.4795          | 0.3896 | 0.6308 | 0.3647 | 0.6295 |
+| 0.3295        | 5.0   | 25310 | 0.4640          | 0.4085 | 0.6529 | 0.3976 | 0.6516 |
+| 0.2783        | 6.0   | 30372 | 0.4554          | 0.4323 | 0.6740 | 0.4326 | 0.6729 |
+| 0.2359        | 7.0   | 35434 | 0.4514          | 0.4604 | 0.6935 | 0.4679 | 0.6923 |
+| 0.2013        | 8.0   | 40496 | 0.4540          | 0.4853 | 0.7055 | 0.4938 | 0.7045 |
+| 0.1741        | 9.0   | 45558 | 0.4603          | 0.5067 | 0.7139 | 0.5122 | 0.7130 |
+| 0.1531        | 10.0  | 50620 | 0.4672          | 0.5228 | 0.7191 | 0.5235 | 0.7181 |
+| 0.1373        | 11.0  | 55682 | 0.4777          | 0.5307 | 0.7205 | 0.5283 | 0.7197 |
+| 0.1256        | 12.0  | 60744 | 0.4877          | 0.5358 | 0.7214 | 0.5308 | 0.7204 |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "eos_token_id": 64000,
+  "transformers_version": "4.45.0.dev0"
+}

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