update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: mt5-base
+  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-base
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2760
+- Bleu: 8.6707
+- Gen Len: 16.9319
+
+## 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: 0.001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 256
+- total_train_batch_size: 2048
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| No log        | 1.0   | 183  | 1.4997          | 6.2141 | 17.0073 |
+| No log        | 2.0   | 366  | 1.3718          | 7.4647 | 16.9205 |
+| 1.9408        | 3.0   | 549  | 1.3184          | 8.1938 | 16.8962 |
+| 1.9408        | 4.0   | 732  | 1.2857          | 8.5265 | 16.9167 |
+| 1.9408        | 5.0   | 915  | 1.2760          | 8.6707 | 16.9319 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.1.0
+- Tokenizers 0.12.1