End of training

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,92 @@
+---
+library_name: transformers
+base_model: BounharAbdelaziz/Al-Atlas-LLM-0.5B
+tags:
+- trl
+- sft
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: Al-Atlas-LLM-0.5B-bs-4-lr-5e-05-ep-3-wp-0.1-gacc-32-gnm-1.0-FP16-mx-2048-v2.3
+  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. -->
+
+# Al-Atlas-LLM-0.5B-bs-4-lr-5e-05-ep-3-wp-0.1-gacc-32-gnm-1.0-FP16-mx-2048-v2.3
+
+This model is a fine-tuned version of [BounharAbdelaziz/Al-Atlas-LLM-0.5B](https://huggingface.co/BounharAbdelaziz/Al-Atlas-LLM-0.5B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4813
+- Bleu: 11.5004
+- Chrf: 35.6364
+- Ter: 104.5543
+- Gen Len: 1.0
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Bleu    | Chrf    | Ter      | Gen Len |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:--------:|:-------:|
+| 2.3349        | 0.1156 | 20   | 0.8954          | 6.5229  | 25.1844 | 97.7052  | 1.0     |
+| 1.8212        | 0.2313 | 40   | 0.5205          | 8.3863  | 30.7922 | 100.3183 | 1.0     |
+| 1.6088        | 0.3469 | 60   | 0.4910          | 9.9375  | 32.6773 | 103.6373 | 1.0     |
+| 1.4974        | 0.4626 | 80   | 0.4865          | 10.3046 | 33.5592 | 102.9448 | 1.0     |
+| 1.4494        | 0.5782 | 100  | 0.4847          | 10.953  | 34.2959 | 102.3899 | 1.0     |
+| 1.3977        | 0.6939 | 120  | 0.4831          | 10.9053 | 34.2735 | 104.1302 | 1.0     |
+| 1.3694        | 0.8095 | 140  | 0.4793          | 11.0026 | 34.7101 | 105.4975 | 1.0     |
+| 1.3454        | 0.9252 | 160  | 0.4760          | 11.2241 | 34.5451 | 104.612  | 1.0     |
+| 1.2959        | 1.0463 | 180  | 0.4830          | 11.133  | 35.0556 | 105.4385 | 1.0     |
+| 1.2836        | 1.1619 | 200  | 0.4860          | 11.3134 | 34.6022 | 104.1697 | 1.0     |
+| 1.2706        | 1.2776 | 220  | 0.4835          | 10.936  | 34.8636 | 105.827  | 1.0     |
+| 1.2087        | 1.3932 | 240  | 0.4832          | 11.114  | 34.9581 | 106.7259 | 1.0     |
+| 1.1982        | 1.5089 | 260  | 0.4760          | 11.1626 | 35.0099 | 105.5238 | 1.0     |
+| 1.2821        | 1.6245 | 280  | 0.4822          | 11.1749 | 34.9248 | 106.0043 | 1.0     |
+| 1.2519        | 1.7402 | 300  | 0.4811          | 11.4891 | 35.3655 | 105.6169 | 1.0     |
+| 1.2769        | 1.8558 | 320  | 0.4776          | 11.4816 | 35.2067 | 104.5519 | 1.0     |
+| 1.2149        | 1.9714 | 340  | 0.4771          | 11.5422 | 35.434  | 103.5539 | 1.0     |
+| 1.2203        | 2.0925 | 360  | 0.4828          | 11.5389 | 35.4972 | 104.2589 | 1.0     |
+| 1.1668        | 2.2082 | 380  | 0.4811          | 11.5922 | 35.5947 | 103.9682 | 1.0     |
+| 1.1519        | 2.3238 | 400  | 0.4807          | 11.4581 | 35.5341 | 104.5049 | 1.0     |
+| 1.1886        | 2.4395 | 420  | 0.4820          | 11.5028 | 35.4251 | 104.3936 | 1.0     |
+| 1.1762        | 2.5551 | 440  | 0.4839          | 11.5828 | 35.5995 | 104.6084 | 1.0     |
+| 1.1789        | 2.6708 | 460  | 0.4818          | 11.5674 | 35.5663 | 104.4349 | 1.0     |
+| 1.1594        | 2.7864 | 480  | 0.4811          | 11.534  | 35.6868 | 104.1138 | 1.0     |
+| 1.2573        | 2.9021 | 500  | 0.4813          | 11.5004 | 35.6364 | 104.5543 | 1.0     |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu124
+- Datasets 2.21.0
+- Tokenizers 0.21.0

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config.json

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+}

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