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-arsl
+  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
+
+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: 0.4184
+- Rouge1: 0.0
+- Rouge2: 0.0
+- Rougel: 0.0
+- Rougelsum: 0.0
+- Gen Len: 5.2837
+
+## 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: 2e-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
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.7177        | 1.0   | 631  | 0.5319          | 0.0    | 0.0    | 0.0    | 0.0       | 5.1458  |
+| 0.648         | 2.0   | 1262 | 0.4079          | 0.0    | 0.0    | 0.0    | 0.0       | 5.1918  |
+| 0.4575        | 3.0   | 1893 | 0.3779          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2567  |
+| 0.3147        | 4.0   | 2524 | 0.3666          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2662  |
+| 0.2603        | 5.0   | 3155 | 0.3682          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2726  |
+| 0.2376        | 6.0   | 3786 | 0.3755          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2758  |
+| 0.2157        | 7.0   | 4417 | 0.3767          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2821  |
+| 0.182         | 8.0   | 5048 | 0.3994          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2821  |
+| 0.1631        | 9.0   | 5679 | 0.3910          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2868  |
+| 0.1526        | 10.0  | 6310 | 0.3991          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2853  |
+| 0.1463        | 11.0  | 6941 | 0.4110          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2805  |
+| 0.1301        | 12.0  | 7572 | 0.4094          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2805  |
+| 0.1278        | 13.0  | 8203 | 0.4126          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2821  |
+| 0.1253        | 14.0  | 8834 | 0.4184          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2837  |
+| 0.1165        | 15.0  | 9465 | 0.4184          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2837  |
+
+
+### 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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