Training complete !

README.md

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+---
+base_model: UBC-NLP/AraT5v2-base-1024
+tags:
+- summarization
+- Arat5v2
+- abstractive summarization
+- ar
+- wikilingua
+- generated_from_trainer
+datasets:
+- wiki_lingua
+model-index:
+- name: AraT5v2-base-1024-finetuned-ar-wikilingua
+ 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. -->
+
+# AraT5v2-base-1024-finetuned-ar-wikilingua
+
+This model is a fine-tuned version of [UBC-NLP/AraT5v2-base-1024](https://huggingface.co/UBC-NLP/AraT5v2-base-1024) on the wiki_lingua dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.1591
+- Rouge-1: 26.54
+- Rouge-2: 10.4
+- Rouge-l: 23.72
+- Gen Len: 18.19
+- Bertscore: 72.52
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 250
+- num_epochs: 8
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len | Bertscore |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:-------:|:---------:|
+| 5.2884 | 1.0 | 4998 | 4.4307 | 23.0 | 8.16 | 20.56 | 17.66 | 70.77 |
+| 4.6798 | 2.0 | 9996 | 4.2972 | 24.48 | 8.95 | 21.86 | 17.57 | 71.56 |
+| 4.4355 | 3.0 | 14994 | 4.2313 | 24.85 | 9.17 | 22.23 | 17.68 | 71.7 |
+| 4.2772 | 4.0 | 19992 | 4.1972 | 25.41 | 9.5 | 22.65 | 17.63 | 72.08 |
+| 4.1551 | 5.0 | 24990 | 4.1724 | 25.43 | 9.44 | 22.58 | 17.68 | 72.08 |
+| 4.0604 | 6.0 | 29988 | 4.1626 | 25.44 | 9.56 | 22.67 | 17.52 | 72.19 |
+| 3.989 | 7.0 | 34986 | 4.1616 | 25.71 | 9.68 | 22.91 | 17.71 | 72.29 |
+| 3.9467 | 8.0 | 39984 | 4.1591 | 25.81 | 9.81 | 23.03 | 17.67 | 72.33 |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

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+{
+ "decoder_start_token_id": 0,
+ "eos_token_id": 1,
+ "pad_token_id": 0,
+ "transformers_version": "4.33.2"
+}