Training complete.

README.md

@@ -13,33 +13,21 @@ should probably proofread and complete it, then remove this comment. -->
 
 # pegasus-samsum
 
-This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the SAMsum dataset.
+This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3986
+- Loss: 1.3374
 
 ## Model description
 
-The model uses PEGASUS pretrained on cnn-dailymail and it is fine-tuned on the SAMsum dataset in order to get summaries out of conversations 
+More information needed
 
 ## Intended uses & limitations
 
-Summarization on conversations
+More information needed
 
 ## Training and evaluation data
 
-The training args are the following:
-                                 num_train_epochs=1,
-                                 warmup_steps=500,
-                                 per_device_train_batch_size=1,
-                                 per_gpu_eval_batch_size=1,
-                                 weight_decay=0.01,
-                                 logging_steps=10, 
-                                 push_to_hub=True,
-                                 evaluation_strategy='steps', 
-                                 eval_steps=500,
-                                 save_steps=1e6,
-                                 gradient_accumulation_steps=16,
-                                 remove_unused_columns=False,
+More information needed
 
 ## Training procedure
 
@@ -48,20 +36,24 @@ The training args are the following:
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
 - train_batch_size: 1
-- eval_batch_size: 1
+- eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 16
 - total_train_batch_size: 16
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 1
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 1.5449        | 0.5431 | 500  | 1.3986          |
+| 1.5449        | 0.5431 | 500  | 1.4638          |
+| 1.365         | 1.0863 | 1000 | 1.3894          |
+| 1.3509        | 1.6294 | 1500 | 1.3562          |
+| 1.3311        | 2.1726 | 2000 | 1.3449          |
+| 1.2358        | 2.7157 | 2500 | 1.3374          |
 
 
 ### Framework versions