Training complete !

README.md

@@ -0,0 +1,77 @@
+---
+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

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.33.2"
+}