End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - xsum
+metrics:
+- rouge
 model-index:
 - name: t5-small-finetuned-xsum
-  results: []
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: xsum
+      type: xsum
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 28.3078
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,13 @@ should probably proofread and complete it, then remove this comment. -->
 # t5-small-finetuned-xsum
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4779
+- Rouge1: 28.3078
+- Rouge2: 7.7241
+- Rougel: 22.2369
+- Rougelsum: 22.2408
+- Gen Len: 18.8302
 
 ## Model description
 
@@ -45,9 +67,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| No log        | 1.0   | 52   | 2.9217          | 15.5569 | 1.9062 | 11.9731 | 11.9211   | 18.9783 |
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 2.7091        | 1.0   | 12753 | 2.4779          | 28.3078 | 7.7241 | 22.2369 | 22.2408   | 18.8302 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:189084566a9323b6709fa31e102a34842d5827bf7d8441df6f7b9cb2a0f7441c
+oid sha256:50b26f6b6d12ace8ee5ce1e6624ff596738bfa8c762fe64e0a07c2e420a98b25
 size 242041896