End of training

README.md

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+---
+license: apache-2.0
+base_model: PRAli22/arat5-arabic-dialects-translation
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-finetuned-ar-to-arsl2
+  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-arsl2
+
+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: 0.3244
+- Rouge1: 0.0
+- Rouge2: 0.0
+- Rougel: 0.0
+- Rougelsum: 0.0
+- Gen Len: 5.2892
+
+## 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 0.99  | 78   | 0.4098          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2132  |
+| No log        | 1.99  | 157  | 0.3022          | 0.0    | 0.0    | 0.0    | 0.0       | 5.248   |
+| No log        | 2.99  | 236  | 0.2753          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2655  |
+| No log        | 3.99  | 315  | 0.2742          | 0.0    | 0.0    | 0.0    | 0.0       | 5.275   |
+| No log        | 5.0   | 394  | 0.2730          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2845  |
+| No log        | 6.0   | 473  | 0.2821          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2805  |
+| 0.4176        | 7.0   | 552  | 0.2923          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2868  |
+| 0.4176        | 8.0   | 631  | 0.2977          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2892  |
+| 0.4176        | 8.99  | 709  | 0.2937          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2964  |
+| 0.4176        | 9.99  | 788  | 0.3020          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2916  |
+| 0.4176        | 10.99 | 867  | 0.3177          | 0.0    | 0.0    | 0.0    | 0.0       | 5.294   |
+| 0.4176        | 11.99 | 946  | 0.3186          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2916  |
+| 0.0879        | 13.0  | 1025 | 0.3255          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2884  |
+| 0.0879        | 14.0  | 1104 | 0.3241          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2868  |
+| 0.0879        | 14.83 | 1170 | 0.3244          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2892  |
+
+
+### 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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