update model card README.md

README.md

@@ -0,0 +1,61 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210-finetuned-MultiHead-230214
+  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-MultiHead-230207-finetuned-MultiHead-230210-finetuned-MultiHead-230214
+
+This model is a fine-tuned version of [Shularp/mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210](https://huggingface.co/Shularp/mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0046
+- Bleu: 17.7500
+
+## 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: 32
+- eval_batch_size: 32
+- 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    |
+|:-------------:|:-----:|:------:|:---------------:|:-------:|
+| 2.4438        | 1.0   | 33611  | 2.0445          | 16.6555 |
+| 2.3878        | 2.0   | 67222  | 2.0143          | 17.3884 |
+| 2.3861        | 3.0   | 100833 | 2.0046          | 17.7500 |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.0
+- Tokenizers 0.13.2