update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- wmt16_en_ro_pre_processed
+metrics:
+- bleu
+model-index:
+- name: t5-tiny-random-length-96-learning_rate-0.0002-weight_decay-0.01-finetuned-en-to-ro
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: wmt16_en_ro_pre_processed
+      type: wmt16_en_ro_pre_processed
+      args: enro
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 0.0617
+---
+
+<!-- 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-tiny-random-length-96-learning_rate-0.0002-weight_decay-0.01-finetuned-en-to-ro
+
+This model is a fine-tuned version of [patrickvonplaten/t5-tiny-random](https://huggingface.co/patrickvonplaten/t5-tiny-random) on the wmt16_en_ro_pre_processed dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.6426
+- Bleu: 0.0617
+- Gen Len: 8.9895
+
+## 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: 0.0002
+- 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: 8
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
+| 4.5828        | 1.0   | 76290  | 5.5397          | 0.0089 | 8.981   |
+| 4.187         | 2.0   | 152580 | 5.2241          | 0.0172 | 8.989   |
+| 3.9612        | 3.0   | 228870 | 5.0092          | 0.034  | 8.988   |
+| 3.8151        | 4.0   | 305160 | 4.8688          | 0.0365 | 8.9865  |
+| 3.7162        | 5.0   | 381450 | 4.7656          | 0.0469 | 8.9865  |
+| 3.6498        | 6.0   | 457740 | 4.6874          | 0.0531 | 8.9885  |
+| 3.6147        | 7.0   | 534030 | 4.6612          | 0.0585 | 8.9875  |
+| 3.5972        | 8.0   | 610320 | 4.6426          | 0.0617 | 8.9895  |
+
+
+### Framework versions
+
+- Transformers 4.12.5
+- Pytorch 1.10.0+cu102
+- Datasets 1.15.1
+- Tokenizers 0.10.3