End of training

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-dataset4
+  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-dataset4
+
+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: 1.3394
+- Rouge1: 0.5938
+- Rouge2: 0.2553
+- Rougel: 0.5804
+- Rougelsum: 0.5805
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 3.8629        | 1.0   | 500  | 1.8549          | 0.5237 | 0.1811 | 0.5132 | 0.5127    |
+| 1.9833        | 2.0   | 1000 | 1.6444          | 0.5724 | 0.2251 | 0.5601 | 0.5598    |
+| 1.7817        | 3.0   | 1500 | 1.5207          | 0.5842 | 0.235  | 0.5715 | 0.5713    |
+| 1.665         | 4.0   | 2000 | 1.4507          | 0.5866 | 0.2423 | 0.5728 | 0.5727    |
+| 1.6001        | 5.0   | 2500 | 1.3894          | 0.593  | 0.2542 | 0.579  | 0.5793    |
+| 1.5498        | 6.0   | 3000 | 1.3612          | 0.599  | 0.2563 | 0.5847 | 0.5847    |
+| 1.5175        | 7.0   | 3500 | 1.3456          | 0.5921 | 0.2539 | 0.5786 | 0.5786    |
+| 1.5051        | 8.0   | 4000 | 1.3394          | 0.5938 | 0.2553 | 0.5804 | 0.5805    |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}