update model card README.md

README.md

@@ -0,0 +1,77 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- emea
+metrics:
+- bleu
+model-index:
+- name: t5_small_prelim_emea_enfr
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: emea
+      type: emea
+      config: en-fr
+      split: train
+      args: en-fr
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 20.0981
+---
+
+<!-- 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_prelim_emea_enfr
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the emea dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6699
+- Bleu: 20.0981
+- Gen Len: 14.0674
+
+## 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
+| 0.8083        | 1.0   | 54629  | 0.6994          | 19.6965 | 14.0689 |
+| 0.7941        | 2.0   | 109258 | 0.6699          | 20.0981 | 14.0674 |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3