Upload README.md

README.md

@@ -2,26 +2,20 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-datasets:
-- xsum
 model-index:
-- name: t5-small-finetuned-xsum
+- name: t5-small-finetuned-xsum-finetuned-billsum
   results:
   - task:
       name: Sequence-to-sequence Language Modeling
       type: text2text-generation
-    dataset:
-      name: xsum
-      type: xsum
-      args: default
 ---
 
 <!-- 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-small-finetuned-xsum
+# t5-small-finetuned-xsum-finetuned-billsum
 
-This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
+This model is a fine-tuned version of [Frederick0291/t5-small-finetuned-xsum](https://huggingface.co/Frederick0291/t5-small-finetuned-xsum) on an unknown dataset.
 
 ## Model description
 
@@ -41,17 +35,24 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 3
-- eval_batch_size: 3
+- 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: 1
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 330  | 1.8540          | 32.9258 | 14.9104 | 27.1067 | 27.208    | 18.8437 |
+
+
 ### Framework versions
 
 - Transformers 4.10.2
-- Pytorch 1.9.0+cu111
+- Pytorch 1.9.0+cu102
 - Datasets 1.12.1
 - Tokenizers 0.10.3