End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: google-t5/t5-small
+base_model: Shubhu07/my_billsum_model
 tags:
 - generated_from_trainer
 metrics:
@@ -16,13 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # my_billsum_model
 
-This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+This model is a fine-tuned version of [Shubhu07/my_billsum_model](https://huggingface.co/Shubhu07/my_billsum_model) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5501
-- Rouge1: 0.1405
-- Rouge2: 0.0458
-- Rougel: 0.1156
-- Rougelsum: 0.1158
+- Loss: 2.2772
+- Rouge1: 0.2051
+- Rouge2: 0.0968
+- Rougel: 0.1722
+- Rougelsum: 0.1722
 - Gen Len: 20.0
 
 ## Model description
@@ -48,17 +48,23 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 50   | 2.8842          | 0.1369 | 0.0377 | 0.1122 | 0.1121    | 20.0    |
-| No log        | 2.0   | 100  | 2.6425          | 0.141  | 0.0449 | 0.1143 | 0.1146    | 20.0    |
-| No log        | 3.0   | 150  | 2.5684          | 0.1411 | 0.0466 | 0.1162 | 0.1164    | 20.0    |
-| No log        | 4.0   | 200  | 2.5501          | 0.1405 | 0.0458 | 0.1156 | 0.1158    | 20.0    |
+| No log        | 1.0   | 50   | 2.4554          | 0.1484 | 0.0499 | 0.1211 | 0.1213    | 20.0    |
+| No log        | 2.0   | 100  | 2.3995          | 0.1764 | 0.0717 | 0.146  | 0.1461    | 20.0    |
+| No log        | 3.0   | 150  | 2.3573          | 0.1978 | 0.0877 | 0.1655 | 0.1656    | 20.0    |
+| No log        | 4.0   | 200  | 2.3325          | 0.2036 | 0.0937 | 0.17   | 0.17      | 20.0    |
+| No log        | 5.0   | 250  | 2.3136          | 0.2061 | 0.0953 | 0.1728 | 0.1727    | 20.0    |
+| No log        | 6.0   | 300  | 2.2987          | 0.2056 | 0.096  | 0.1725 | 0.1724    | 20.0    |
+| No log        | 7.0   | 350  | 2.2898          | 0.204  | 0.0957 | 0.1714 | 0.1715    | 20.0    |
+| No log        | 8.0   | 400  | 2.2824          | 0.2047 | 0.0962 | 0.1721 | 0.1721    | 20.0    |
+| No log        | 9.0   | 450  | 2.2788          | 0.2053 | 0.0968 | 0.1723 | 0.1723    | 20.0    |
+| 2.5896        | 10.0  | 500  | 2.2772          | 0.2051 | 0.0968 | 0.1722 | 0.1722    | 20.0    |
 
 
 ### Framework versions

runs/Apr18_17-15-02_2adfca683a6a/events.out.tfevents.1744996503.2adfca683a6a.656.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b8b45a5b08e8954180aef823459d5de52075ce78567f8fb1683325b61a042878
-size 10881
+oid sha256:db6c26c5e648aaa6dd9a6cba84468408824a32a464fb920c95b405869a703838
+size 11760