Model save

README.md

@@ -4,18 +4,11 @@ license: apache-2.0
 base_model: google-t5/t5-small
 tags:
 - generated_from_trainer
-- NLP
-- text-to-text
-- Summarization
 metrics:
 - rouge
 model-index:
 - name: MTSUFall2024SoftwareEngineering
   results: []
-datasets:
-- MTSUFall2024SoftwareEngineering/UnitedStatesSenateBillsAndSummaries
-language:
-- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -25,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9830
-- Rouge1: 0.2539
-- Rouge2: 0.201
-- Rougel: 0.2469
-- Rougelsum: 0.2469
-- Gen Len: 18.9996
+- Loss: 2.0628
+- Rouge1: 0.2406
+- Rouge2: 0.187
+- Rougel: 0.2337
+- Rougelsum: 0.2336
+- Gen Len: 18.9969
 
 ## Model description
 
@@ -38,7 +31,7 @@ More information needed
 
 ## Intended uses & limitations
 
-Used for Middle Tennessee State University's Software Engineering Fall 2024 class.
+More information needed
 
 ## Training and evaluation data
 
@@ -62,15 +55,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 2.7481        | 1.0   | 749  | 2.1062          | 0.2552 | 0.1993 | 0.2475 | 0.2475    | 18.9996 |
-| 2.3354        | 2.0   | 1498 | 2.0224          | 0.2531 | 0.2    | 0.246  | 0.246     | 18.9996 |
-| 2.2351        | 3.0   | 2247 | 1.9929          | 0.2542 | 0.2011 | 0.2471 | 0.247     | 18.9996 |
-| 2.193         | 4.0   | 2996 | 1.9830          | 0.2539 | 0.201  | 0.2469 | 0.2469    | 18.9996 |
+| 2.8688        | 1.0   | 748  | 2.1863          | 0.2392 | 0.1855 | 0.232  | 0.2319    | 18.9985 |
+| 2.4032        | 2.0   | 1496 | 2.1045          | 0.2387 | 0.1869 | 0.232  | 0.232     | 18.9973 |
+| 2.3034        | 3.0   | 2244 | 2.0720          | 0.239  | 0.1869 | 0.2324 | 0.2323    | 18.9969 |
+| 2.2666        | 4.0   | 2992 | 2.0628          | 0.2406 | 0.187  | 0.2337 | 0.2336    | 18.9969 |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
 - Pytorch 2.4.0+cu121
-- Datasets 2.21.0
-- Tokenizers 0.19.1
+- Datasets 3.0.0
+- Tokenizers 0.19.1

runs/Sep18_04-21-07_d077dd5d3fdc/events.out.tfevents.1726633308.d077dd5d3fdc.1593.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:43ff6b9a0367430d2dbd4c16e55c0b499b39ff53bc15c87c02efba12d69cfd0a
-size 8576
+oid sha256:bdd263cb44d4d88cd28f46080707c93053d8658ff92cb533448e9b6e76c3aab7
+size 9455