update model card README.md

README.md

@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.3750
-- Rouge1: 0.3111
-- Rouge2: 0.1149
-- Rougel: 0.2256
-- Rougelsum: 0.2256
-- Gen Len: 65.5641
+- Loss: 2.1211
+- Rouge1: 0.3212
+- Rouge2: 0.1225
+- Rougel: 0.2329
+- Rougelsum: 0.2327
+- Gen Len: 65.4998
 
 ## Model description
 
@@ -41,8 +41,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -53,10 +53,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 1.8443        | 1.0   | 1280 | 1.8708          | 0.3152 | 0.1199 | 0.2279 | 0.2279    | 63.8984 |
-| 1.244         | 2.0   | 2560 | 1.9406          | 0.3174 | 0.1199 | 0.2303 | 0.2305    | 63.8938 |
-| 0.8394        | 3.0   | 3840 | 2.1484          | 0.3118 | 0.1167 | 0.2253 | 0.2254    | 65.0891 |
-| 0.5744        | 4.0   | 5120 | 2.3750          | 0.3111 | 0.1149 | 0.2256 | 0.2256    | 65.5641 |
+| 1.8113        | 1.0   | 1134 | 1.7859          | 0.3221 | 0.1245 | 0.2348 | 0.2348    | 64.0653 |
+| 1.3327        | 2.0   | 2268 | 1.8142          | 0.3248 | 0.1255 | 0.2368 | 0.2368    | 64.2325 |
+| 0.9968        | 3.0   | 3402 | 1.9795          | 0.3215 | 0.1236 | 0.2335 | 0.2335    | 65.0935 |
+| 0.7786        | 4.0   | 4536 | 2.1211          | 0.3212 | 0.1225 | 0.2329 | 0.2327    | 65.4998 |
 
 
 ### Framework versions