Training complete

README.md

@@ -4,6 +4,8 @@ base_model: google-t5/t5-small
 tags:
 - summarization
 - generated_from_trainer
+metrics:
+- rouge
 model-index:
 - name: t5-small-finetuned-billsum
   results: []
@@ -15,6 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 # t5-small-finetuned-billsum
 
 This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5533
+- Rouge1: 0.1356
+- Rouge2: 0.0495
+- Rougel: 0.1144
+- Rougelsum: 0.1144
+- Gen Len: 19.0
 
 ## Model description
 
@@ -39,14 +48,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 62   | 3.0960          | 0.1343 | 0.0416 | 0.1133 | 0.1133    | 19.0    |
+| No log        | 1.0   | 62   | 2.6711          | 0.1308 | 0.0445 | 0.1107 | 0.1109    | 19.0    |
+| No log        | 2.0   | 124  | 2.5761          | 0.1338 | 0.0483 | 0.1137 | 0.1137    | 19.0    |
+| No log        | 3.0   | 186  | 2.5533          | 0.1356 | 0.0495 | 0.1144 | 0.1144    | 19.0    |
 
 
 ### Framework versions

runs/Aug26_13-52-36_ff5fe5d9fbf4/events.out.tfevents.1724680365.ff5fe5d9fbf4.1216.1

@@ -1,3 +1,3 @@
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-size 6911
+oid sha256:dde99216bec6e33117eb6531511aff247995eeee53764c33b4bf51fd78692ae4
+size 7790