update model card README.md

README.md

@@ -0,0 +1,62 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: mt5-small-finetuned-src-to-trg-testing
+  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-src-to-trg-testing
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 14.3044
+- Bleu: 0.1222
+- Gen Len: 3.75
+
+## 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: 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| No log        | 1.0   | 4    | 15.1549         | 0.1222 | 3.75    |
+| No log        | 2.0   | 8    | 14.5822         | 0.1222 | 3.75    |
+| No log        | 3.0   | 12   | 14.3044         | 0.1222 | 3.75    |
+
+
+### Framework versions
+
+- Transformers 4.14.1
+- Pytorch 1.7.1
+- Datasets 1.16.2.dev0
+- Tokenizers 0.10.3