update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- wmt19
+metrics:
+- bleu
+model-index:
+- name: t5-small-finetuned-fi-to-en
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: wmt19
+      type: wmt19
+      args: fi-en
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 1.2607
+---
+
+<!-- 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. -->
+
+# t5-small-finetuned-fi-to-en
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wmt19 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.5004
+- Bleu: 1.2607
+- Gen Len: 17.1943
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
+| 3.3914        | 1.0   | 6250  | 3.5255          | 1.2017 | 17.1033 |
+| 3.3221        | 2.0   | 12500 | 3.5004          | 1.2607 | 17.1943 |
+
+
+### Framework versions
+
+- Transformers 4.12.5
+- Pytorch 1.9.1
+- Datasets 1.16.1
+- Tokenizers 0.10.3