update model card README.md

README.md

@@ -0,0 +1,74 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- new_dataset
+metrics:
+- sacrebleu
+model-index:
+- name: jwt300_mt-Italian-to-Spanish_transformers
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: new_dataset
+      type: new_dataset
+      args: jwt300_mt
+    metrics:
+    - name: Sacrebleu
+      type: sacrebleu
+      value: 0.9057
+---
+
+<!-- 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. -->
+
+# jwt300_mt-Italian-to-Spanish_transformers
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the new_dataset dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4425
+- Sacrebleu: 0.9057
+- Gen Len: 18.1276
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
+| 2.7545        | 1.0   | 2229 | 2.4425          | 0.9057    | 18.1276 |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.11.0
+- Datasets 2.0.0
+- Tokenizers 0.11.6