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: news-summary-t5-model-2
+  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. -->
+
+# news-summary-t5-model-2
+
+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: 29.9122
+- Rouge2: 11.6784
+- Rougel: 26.812
+- Rougelsum: 26.8345
+
+## 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          | 18.1585 | 5.9435  | 16.7364 | 16.7646   |
+| 4.2107        | 2.0   | 880  | 2.8404          | 22.9864 | 8.3815  | 20.8354 | 20.9346   |
+| 3.738         | 3.0   | 1320 | 2.7354          | 26.5984 | 10.0823 | 23.912  | 23.9585   |
+| 3.4864        | 4.0   | 1760 | 2.6756          | 27.1487 | 10.1681 | 24.3788 | 24.4672   |
+| 3.3642        | 5.0   | 2200 | 2.6224          | 28.7513 | 11.5416 | 26.2106 | 26.2335   |
+| 3.269         | 6.0   | 2640 | 2.5883          | 29.6461 | 11.8038 | 26.7581 | 26.7764   |
+| 3.212         | 7.0   | 3080 | 2.5677          | 29.8037 | 11.6582 | 26.5532 | 26.5455   |
+| 3.186         | 8.0   | 3520 | 2.5691          | 29.9122 | 11.6784 | 26.812  | 26.8345   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- 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": "4.41.2"
+}

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