Training complete

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-finetuned-news-summary-kaggle
+  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. -->
+
+# mt5-small-finetuned-news-summary-kaggle
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5691
+- Rouge1: 29.8831
+- Rouge2: 11.6462
+- Rougel: 26.8481
+- Rougelsum: 26.8856
+
+## 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: 5.6e-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: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 8.1234        | 1.0   | 440  | 3.3123          | 18.1687 | 5.9565  | 16.7581 | 16.7495   |
+| 4.2107        | 2.0   | 880  | 2.8404          | 23.0004 | 8.3723  | 20.8424 | 20.9312   |
+| 3.738         | 3.0   | 1320 | 2.7354          | 26.5882 | 10.1061 | 23.9299 | 24.0001   |
+| 3.4864        | 4.0   | 1760 | 2.6756          | 27.2242 | 10.1775 | 24.4504 | 24.5062   |
+| 3.3642        | 5.0   | 2200 | 2.6224          | 28.7857 | 11.5222 | 26.2568 | 26.3167   |
+| 3.269         | 6.0   | 2640 | 2.5883          | 29.6623 | 11.7765 | 26.8117 | 26.906    |
+| 3.212         | 7.0   | 3080 | 2.5677          | 29.7811 | 11.635  | 26.5844 | 26.6327   |
+| 3.186         | 8.0   | 3520 | 2.5691          | 29.8831 | 11.6462 | 26.8481 | 26.8856   |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.40.2"
+}

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