MTSUFall2024SoftwareEngineering/TEST_MODEL

README.md

@@ -8,37 +8,34 @@ metrics:
 model-index:
 - name: senate_bills_summary_model
   results: []
-datasets:
-- cheaptrix/UnitedStatesSenateBillsAndSummaries
-language:
-- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/cheaptrix/MTSUFall2024SoftwareEngineering/runs/rigak20g)
 # senate_bills_summary_model
 
 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: 1.9099
-- Rouge1: 0.2477
-- Rouge2: 0.1963
-- Rougel: 0.2407
-- Rougelsum: 0.2406
-- Gen Len: 18.9992
+- Loss: 1.9849
+- Rouge1: 0.2462
+- Rouge2: 0.1934
+- Rougel: 0.2389
+- Rougelsum: 0.2389
+- Gen Len: 18.9981
 
 ## Model description
 
-This model is a fine-tuned Google T5-Small model that is fine-tuned to summarize United States Senate Bills.
+More information needed
 
 ## Intended uses & limitations
 
-Summarize United States Federal Legislation.
+More information needed
 
 ## Training and evaluation data
 
-Trained on ~13.1k bills and summaries.
+More information needed
 
 ## Training procedure
 
@@ -58,15 +55,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 2.2318        | 1.0   | 749  | 1.9710          | 0.2475 | 0.1952 | 0.2405 | 0.2402    | 18.9985 |
-| 2.1782        | 2.0   | 1498 | 1.9331          | 0.2478 | 0.1959 | 0.2408 | 0.2406    | 18.9992 |
-| 2.1355        | 3.0   | 2247 | 1.9141          | 0.2479 | 0.1961 | 0.2409 | 0.2407    | 18.9992 |
-| 2.1079        | 4.0   | 2996 | 1.9099          | 0.2477 | 0.1963 | 0.2407 | 0.2406    | 18.9992 |
+| 2.7477        | 1.0   | 749  | 2.1012          | 0.2474 | 0.192  | 0.2397 | 0.2396    | 18.9992 |
+| 2.3215        | 2.0   | 1498 | 2.0257          | 0.2464 | 0.1931 | 0.2391 | 0.239     | 18.9992 |
+| 2.2304        | 3.0   | 2247 | 1.9963          | 0.2459 | 0.1933 | 0.2386 | 0.2386    | 18.9989 |
+| 2.194         | 4.0   | 2996 | 1.9849          | 0.2462 | 0.1934 | 0.2389 | 0.2389    | 18.9981 |
 
 
 ### Framework versions
 
-- Transformers 4.40.1
-- Pytorch 2.2.1+cu121
-- Datasets 2.19.1
-- Tokenizers 0.19.1
+- Transformers 4.42.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

@@ -2,5 +2,5 @@
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,
-  "transformers_version": "4.40.1"
+  "transformers_version": "4.42.4"
 }

runs/Sep04_13-44-13_83114ab7d70e/events.out.tfevents.1725457462.83114ab7d70e.900.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:390dc4406726279e1c6854df4a122b0553d907678e41a92e05f967987800257a
-size 8499
+oid sha256:9478b11335912bed1aa1649c145e20f286ab6648ba112c67d7ff8293ed26760e
+size 9378