update model card README.md

README.md

@@ -0,0 +1,66 @@
+---
+license: apache-2.0
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-finetuned-amazon-en-de
+  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-amazon-en-de
+
+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: 2.7569
+- Rouge1: 18.0555
+- Rouge2: 9.7451
+- Rougel: 17.6297
+- Rougelsum: 17.5489
+
+## 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: 5e-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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 2.7527        | 1.0   | 3665  | 2.8879          | 18.3899 | 10.2549 | 17.9226 | 17.8373   |
+| 3.1875        | 2.0   | 7330  | 2.7905          | 17.6365 | 9.271   | 17.1788 | 17.0681   |
+| 3.0707        | 3.0   | 10995 | 2.7601          | 17.8343 | 9.5332  | 17.4487 | 17.3742   |
+| 3.0107        | 4.0   | 14660 | 2.7569          | 18.0555 | 9.7451  | 17.6297 | 17.5489   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2