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-dataset3
+  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-dataset3
+
+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: 1.4341
+- Rouge1: 0.5489
+- Rouge2: 0.2033
+- Rougel: 0.5208
+- Rougelsum: 0.5212
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 4.1512        | 1.0   | 500  | 2.0642          | 0.503  | 0.172  | 0.4893 | 0.4899    |
+| 2.1206        | 2.0   | 1000 | 1.7535          | 0.5288 | 0.1861 | 0.5137 | 0.5143    |
+| 1.8841        | 3.0   | 1500 | 1.6171          | 0.5293 | 0.1798 | 0.5069 | 0.5072    |
+| 1.7527        | 4.0   | 2000 | 1.5333          | 0.5335 | 0.1837 | 0.5069 | 0.507     |
+| 1.6573        | 5.0   | 2500 | 1.4857          | 0.5444 | 0.1941 | 0.5165 | 0.5163    |
+| 1.6073        | 6.0   | 3000 | 1.4628          | 0.5405 | 0.197  | 0.5133 | 0.5136    |
+| 1.5703        | 7.0   | 3500 | 1.4368          | 0.5519 | 0.2097 | 0.5267 | 0.5271    |
+| 1.5415        | 8.0   | 4000 | 1.4341          | 0.5489 | 0.2033 | 0.5208 | 0.5212    |
+
+
+### 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"
+}