Training complete

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- summarization
+- generated_from_trainer
+datasets:
+- mlsum
+metrics:
+- rouge
+model-index:
+- name: mt5-small-finetuned-mlsum
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: mlsum
+      type: mlsum
+      config: fr
+      split: validation
+      args: fr
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 23.8523
+---
+
+<!-- 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-mlsum
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the mlsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1938
+- Rouge1: 23.8523
+- Rouge2: 11.7959
+- Rougel: 21.1838
+- Rougelsum: 21.2463
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 5.6087        | 1.0   | 1005 | 2.4269          | 29.6042 | 15.5378 | 25.5964 | 25.6503   |
+| 3.4099        | 2.0   | 2010 | 2.2734          | 23.8963 | 12.2351 | 21.4806 | 21.4861   |
+| 3.169         | 3.0   | 3015 | 2.2310          | 26.7408 | 13.7129 | 23.7543 | 23.8443   |
+| 3.0327        | 4.0   | 4020 | 2.2084          | 23.2971 | 11.5675 | 20.911  | 21.0564   |
+| 2.9777        | 5.0   | 5025 | 2.1938          | 23.8523 | 11.7959 | 21.1838 | 21.2463   |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.34.0"
+}

pytorch_model.bin

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