update model card README.md

README.md

@@ -0,0 +1,80 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- cnn_dailymail
+metrics:
+- rouge
+model-index:
+- name: pegasus-newsroom-cnn-adam8bit-bs4x64acc
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: cnn_dailymail
+      type: cnn_dailymail
+      args: 3.0.0
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 44.2881
+---
+
+<!-- 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-newsroom-cnn-adam8bit-bs4x64acc
+
+This model is a fine-tuned version of [oMateos2020/pegasus-newsroom-cnn-adam8bit-bs16x64acc](https://huggingface.co/oMateos2020/pegasus-newsroom-cnn-adam8bit-bs16x64acc) on the cnn_dailymail dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8608
+- Rouge1: 44.2881
+- Rouge2: 21.5487
+- Rougel: 31.3798
+- Rougelsum: 41.2326
+- Gen Len: 71.7744
+
+## 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: 6.4e-05
+- train_batch_size: 4
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.4
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.9307        | 1.0   | 1121 | 2.8608          | 44.2881 | 21.5487 | 31.3798 | 41.2326   | 71.7744 |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1