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README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 2.4762
+      value: 2.8314
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,11 +30,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the xsum dataset.
 It achieves the following results on the evaluation set:
 - Loss: nan
-- Rouge1: 2.4762
-- Rouge2: 0.2236
-- Rougel: 2.2834
-- Rougelsum: 2.2792
-- Gen Len: 4.6402
+- Rouge1: 2.8314
+- Rouge2: 0.3142
+- Rougel: 2.6475
+- Rougelsum: 2.6485
+- Gen Len: 4.9416
 
 ## Model description
 
@@ -66,7 +66,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| nan           | 1.0   | 1276 | nan             | 2.4762 | 0.2236 | 2.2834 | 2.2792    | 4.6402  |
+| nan           | 1.0   | 6377 | nan             | 2.8314 | 0.3142 | 2.6475 | 2.6485    | 4.9416  |
 
 
 ### Framework versions

runs/Sep21_10-36-05_02df3a22b2fc/1632220572.0877085/events.out.tfevents.1632220572.02df3a22b2fc.136.3

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+size 4450

runs/Sep21_10-36-05_02df3a22b2fc/events.out.tfevents.1632220572.02df3a22b2fc.136.2

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+oid sha256:a78016a85b3fce7d0bf8b62cd557a3a0e87765d904da06b2845325e06ed4726a
+size 5872

training_args.bin

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+oid sha256:d2c4fc316d12e82918e897fb14271d4f2cf16d2fd193ddb5f481ea2e7082a6f0
 size 2799