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_bleu
+  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_bleu
+
+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: 0.3564
+- Bleu1: 0.9326
+- Bleu2: 0.9010
+- Bleu3: 0.7310
+- Bleu4: 0.5945
+- Overall Bleu: 0.7773
+
+## 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  | Overall Bleu |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|:------------:|
+| No log        | 1.0   | 69   | 0.3152          | 0.9226 | 0.8885 | 0.7160 | 0.5780 | 0.7632       |
+| No log        | 2.0   | 138  | 0.2849          | 0.9285 | 0.8941 | 0.7237 | 0.5864 | 0.7704       |
+| No log        | 3.0   | 207  | 0.3064          | 0.9311 | 0.8992 | 0.7285 | 0.5913 | 0.7750       |
+| No log        | 4.0   | 276  | 0.2908          | 0.9326 | 0.8984 | 0.7290 | 0.5914 | 0.7753       |
+| No log        | 5.0   | 345  | 0.3007          | 0.9354 | 0.9034 | 0.7352 | 0.5975 | 0.7805       |
+| No log        | 6.0   | 414  | 0.3043          | 0.9315 | 0.8991 | 0.7311 | 0.5940 | 0.7766       |
+| No log        | 7.0   | 483  | 0.3124          | 0.9311 | 0.8981 | 0.7297 | 0.5941 | 0.7760       |
+| 0.1232        | 8.0   | 552  | 0.3217          | 0.9302 | 0.8968 | 0.7254 | 0.5889 | 0.7726       |
+| 0.1232        | 9.0   | 621  | 0.3201          | 0.9316 | 0.8989 | 0.7293 | 0.5946 | 0.7763       |
+| 0.1232        | 10.0  | 690  | 0.3370          | 0.9317 | 0.8974 | 0.7280 | 0.5932 | 0.7752       |
+| 0.1232        | 11.0  | 759  | 0.3458          | 0.9335 | 0.9013 | 0.7317 | 0.5954 | 0.7781       |
+| 0.1232        | 12.0  | 828  | 0.3446          | 0.9324 | 0.8993 | 0.7291 | 0.5924 | 0.7758       |
+| 0.1232        | 13.0  | 897  | 0.3516          | 0.9337 | 0.9017 | 0.7304 | 0.5938 | 0.7774       |
+| 0.1232        | 14.0  | 966  | 0.3570          | 0.9331 | 0.9014 | 0.7309 | 0.5942 | 0.7774       |
+| 0.0507        | 15.0  | 1035 | 0.3564          | 0.9326 | 0.9010 | 0.7310 | 0.5945 | 0.7773       |
+
+
+### 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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