End of training

README.md

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+---
+license: apache-2.0
+base_model: PRAli22/arat5-arabic-dialects-translation
+tags:
+- generated_from_trainer
+model-index:
+- name: t5-finetuned-ar-to-arsl_test
+  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. -->
+
+# t5-finetuned-ar-to-arsl_test
+
+This model is a fine-tuned version of [PRAli22/arat5-arabic-dialects-translation](https://huggingface.co/PRAli22/arat5-arabic-dialects-translation) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4437
+- Bleu1: 0.9326
+- Bleu2: 0.8967
+- Bleu3: 0.7133
+- Bleu4: 0.5737
+
+## 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: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu1  | Bleu2  | Bleu3  | Bleu4  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|
+| No log        | 1.0   | 59   | 0.3274          | 0.9290 | 0.8943 | 0.7134 | 0.5740 |
+| No log        | 2.0   | 118  | 0.3396          | 0.9332 | 0.9022 | 0.7185 | 0.5775 |
+| No log        | 2.99  | 177  | 0.3654          | 0.9331 | 0.9001 | 0.7165 | 0.5754 |
+| No log        | 3.99  | 236  | 0.3809          | 0.9298 | 0.8951 | 0.7096 | 0.5690 |
+| No log        | 4.99  | 295  | 0.3918          | 0.9325 | 0.8984 | 0.7153 | 0.5747 |
+| No log        | 5.99  | 354  | 0.4003          | 0.9294 | 0.8926 | 0.7082 | 0.5691 |
+| No log        | 6.99  | 413  | 0.4018          | 0.9331 | 0.8984 | 0.7137 | 0.5738 |
+| No log        | 8.0   | 473  | 0.4154          | 0.9333 | 0.9007 | 0.7161 | 0.5776 |
+| 0.0263        | 9.0   | 532  | 0.4394          | 0.9338 | 0.8985 | 0.7142 | 0.5745 |
+| 0.0263        | 10.0  | 591  | 0.4421          | 0.9336 | 0.8994 | 0.7176 | 0.5781 |
+| 0.0263        | 10.99 | 650  | 0.4417          | 0.9325 | 0.8971 | 0.7138 | 0.5753 |
+| 0.0263        | 11.99 | 709  | 0.4526          | 0.9340 | 0.8992 | 0.7154 | 0.5740 |
+| 0.0263        | 12.99 | 768  | 0.4487          | 0.9328 | 0.8971 | 0.7134 | 0.5734 |
+| 0.0263        | 13.99 | 827  | 0.4483          | 0.9324 | 0.8970 | 0.7135 | 0.5740 |
+| 0.0263        | 14.97 | 885  | 0.4437          | 0.9326 | 0.8967 | 0.7133 | 0.5737 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.3"
+}

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 size 1470068592

runs/Jun21_20-45-54_7d9d92cb3e01/events.out.tfevents.1719002771.7d9d92cb3e01.34.1

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