update model card README.md

README.md

@@ -0,0 +1,65 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: bart-large-cnn-100-lit-evalMA-NOpad2
+  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. -->
+
+# bart-large-cnn-100-lit-evalMA-NOpad2
+
+This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2126
+- Rouge1: 25.6196
+- Rouge2: 7.2753
+- Rougel: 18.0987
+- Rougelsum: 20.8416
+- Gen Len: 67.3
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 100  | 1.0890          | 23.5493 | 8.9875 | 17.1471 | 20.1643   | 67.8    |
+| No log        | 2.0   | 200  | 1.2126          | 25.6196 | 7.2753 | 18.0987 | 20.8416   | 67.3    |
+
+
+### Framework versions
+
+- Transformers 4.16.2
+- Pytorch 1.10.2
+- Datasets 1.18.3
+- Tokenizers 0.11.0