update model card README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: apache-2.0
+license: bsd-3-clause
 tags:
 - generated_from_trainer
 metrics:
@@ -14,14 +14,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # first_tldr
 
-This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
+This model is a fine-tuned version of [pszemraj/long-t5-tglobal-base-16384-book-summary](https://huggingface.co/pszemraj/long-t5-tglobal-base-16384-book-summary) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.2734
-- Rouge1: 0.2199
-- Rouge2: 0.1062
-- Rougel: 0.1867
-- Rougelsum: 0.1869
-- Gen Len: 18.8003
+- Loss: 1.4427
+- Rouge1: 0.3859
+- Rouge2: 0.1307
+- Rougel: 0.2443
 
 ## Model description
 
@@ -40,24 +38,22 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 0.0005
+- train_batch_size: 1
+- eval_batch_size: 1
 - seed: 42
+- gradient_accumulation_steps: 128
+- total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 5
-- mixed_precision_training: Native AMP
+- lr_scheduler_type: cosine
+- num_epochs: 2
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 194  | 2.3676          | 0.2112 | 0.0983 | 0.1783 | 0.1782    | 18.8131 |
-| No log        | 2.0   | 388  | 2.3128          | 0.2152 | 0.1022 | 0.182  | 0.1819    | 18.8209 |
-| 2.5218        | 3.0   | 582  | 2.2884          | 0.2185 | 0.1046 | 0.1849 | 0.1849    | 18.8222 |
-| 2.5218        | 4.0   | 776  | 2.2772          | 0.2196 | 0.1062 | 0.1865 | 0.1866    | 18.799  |
-| 2.5218        | 5.0   | 970  | 2.2734          | 0.2199 | 0.1062 | 0.1867 | 0.1869    | 18.8003 |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
+| No log        | 0.98  | 47   | 1.4361          | 0.3848 | 0.1323 | 0.2419 |
+| No log        | 1.97  | 94   | 1.4427          | 0.3859 | 0.1307 | 0.2443 |
 
 
 ### Framework versions