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-cnndailymail-en
+  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-cnndailymail-en
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9001
+- Rouge1: 0.2945
+- Rouge2: 0.1496
+- Rougel: 0.2717
+- Rougelsum: 0.2755
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 3.108         | 1.0   | 6250  | 2.1633          | 0.2817 | 0.1398 | 0.2595 | 0.2633    |
+| 2.3974        | 2.0   | 12500 | 2.0337          | 0.2894 | 0.1451 | 0.2671 | 0.2709    |
+| 2.2688        | 3.0   | 18750 | 1.9802          | 0.2906 | 0.1454 | 0.2682 | 0.2720    |
+| 2.1937        | 4.0   | 25000 | 1.9602          | 0.2899 | 0.1451 | 0.2674 | 0.2711    |
+| 2.1403        | 5.0   | 31250 | 1.9341          | 0.2882 | 0.1442 | 0.2663 | 0.2702    |
+| 2.1005        | 6.0   | 37500 | 1.9161          | 0.2931 | 0.1477 | 0.2705 | 0.2743    |
+| 2.071         | 7.0   | 43750 | 1.9145          | 0.2929 | 0.1487 | 0.2706 | 0.2745    |
+| 2.0476        | 8.0   | 50000 | 1.9088          | 0.2940 | 0.1495 | 0.2715 | 0.2752    |
+| 2.0323        | 9.0   | 56250 | 1.9074          | 0.2943 | 0.1497 | 0.2717 | 0.2755    |
+| 2.0203        | 10.0  | 62500 | 1.9001          | 0.2945 | 0.1496 | 0.2717 | 0.2755    |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.1+cu121
+- Datasets 2.17.1
+- 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": "4.38.1"
+}