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: 2.6907
+- Rouge1: 26.6547
+- Rouge2: 10.1
+- Rougel: 24.0137
+- Rougelsum: 23.9999
+
+## 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: 16
+- eval_batch_size: 16
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| No log        | 1.0   | 220  | 3.9956          | 14.9021 | 3.3744 | 13.4763 | 13.499    |
+| 8.3183        | 2.0   | 440  | 3.1550          | 17.9472 | 5.9671 | 16.6974 | 16.6959   |
+| 8.3183        | 3.0   | 660  | 2.8950          | 21.2665 | 7.4266 | 19.5041 | 19.4837   |
+| 4.0457        | 4.0   | 880  | 2.8087          | 25.063  | 9.4484 | 22.746  | 22.7351   |
+| 4.0457        | 5.0   | 1100 | 2.7375          | 25.5269 | 9.4299 | 23.0623 | 23.0075   |
+| 3.6505        | 6.0   | 1320 | 2.7091          | 25.8308 | 9.3392 | 23.2001 | 23.1586   |
+| 3.6505        | 7.0   | 1540 | 2.6949          | 26.2177 | 9.8536 | 23.5946 | 23.6358   |
+| 3.5175        | 8.0   | 1760 | 2.6907          | 26.6547 | 10.1   | 24.0137 | 23.9999   |
+
+
+### 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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