update model card README.md

README.md

@@ -0,0 +1,63 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: pegasus-base-qag-bg-finetuned-punctuation-bg
+  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. -->
+
+# pegasus-base-qag-bg-finetuned-punctuation-bg
+
+This model is a fine-tuned version of [rmihaylov/pegasus-base-qag-bg](https://huggingface.co/rmihaylov/pegasus-base-qag-bg) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0318
+
+## 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: 5.6e-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: 8
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.0563        | 1.0   | 4063  | 0.0279          |
+| 0.0301        | 2.0   | 8126  | 0.0260          |
+| 0.0227        | 3.0   | 12189 | 0.0259          |
+| 0.0178        | 4.0   | 16252 | 0.0281          |
+| 0.0145        | 5.0   | 20315 | 0.0290          |
+| 0.0122        | 6.0   | 24378 | 0.0300          |
+| 0.0105        | 7.0   | 28441 | 0.0305          |
+| 0.0095        | 8.0   | 32504 | 0.0318          |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.0
+- Tokenizers 0.13.2