update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- aslg_pc12
+metrics:
+- bleu
+model-index:
+- name: transformer_model
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: aslg_pc12
+      type: aslg_pc12
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 56.4281
+---
+
+<!-- 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. -->
+
+# transformer_model
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the aslg_pc12 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5811
+- Bleu: 56.4281
+- Gen Len: 15.5526
+
+## 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: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 1.094         | 1.0   | 4386  | 0.7098          | 50.634  | 15.6095 |
+| 0.9099        | 2.0   | 8772  | 0.6072          | 55.2182 | 15.5592 |
+| 0.8697        | 3.0   | 13158 | 0.5811          | 56.4281 | 15.5526 |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu116
+- Datasets 2.8.0
+- Tokenizers 0.13.2