update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: BARTkrame-abstract-mT5
+  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. -->
+
+# BARTkrame-abstract-mT5
+
+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: 2.2557
+- Rouge1: 0.2223
+- Rouge2: 0.0735
+- Rougel: 0.1826
+- Rougelsum: 0.1849
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 4.9563        | 1.0   | 1250 | 2.3674          | 0.2206 | 0.0755 | 0.1853 | 0.1869    |
+| 3.1856        | 2.0   | 2500 | 2.2988          | 0.2296 | 0.0757 | 0.1888 | 0.1910    |
+| 3.0083        | 3.0   | 3750 | 2.2668          | 0.2201 | 0.0728 | 0.1816 | 0.1832    |
+| 2.9296        | 4.0   | 5000 | 2.2557          | 0.2223 | 0.0735 | 0.1826 | 0.1849    |
+
+
+### Framework versions
+
+- Transformers 4.23.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.6.1
+- Tokenizers 0.13.1