CitrusPrincess commited on
Commit
572f2b4
·
verified ·
1 Parent(s): e3e3a89

CitrusPrincess/Fine-tuning the model with the all Senate and House bills dataset.

Browse files
README.md CHANGED
@@ -4,6 +4,8 @@ license: apache-2.0
4
  base_model: google-t5/t5-small
5
  tags:
6
  - generated_from_trainer
 
 
7
  model-index:
8
  - name: MTSUSpring2025SoftwareEngineering
9
  results: []
@@ -15,6 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
15
  # MTSUSpring2025SoftwareEngineering
16
 
17
  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
 
 
 
 
 
 
 
18
 
19
  ## Model description
20
 
@@ -33,7 +42,7 @@ More information needed
33
  ### Training hyperparameters
34
 
35
  The following hyperparameters were used during training:
36
- - learning_rate: 2e-05
37
  - train_batch_size: 4
38
  - eval_batch_size: 4
39
  - seed: 42
@@ -42,6 +51,17 @@ The following hyperparameters were used during training:
42
  - num_epochs: 5
43
  - mixed_precision_training: Native AMP
44
 
 
 
 
 
 
 
 
 
 
 
 
45
  ### Framework versions
46
 
47
  - Transformers 4.48.3
 
4
  base_model: google-t5/t5-small
5
  tags:
6
  - generated_from_trainer
7
+ metrics:
8
+ - rouge
9
  model-index:
10
  - name: MTSUSpring2025SoftwareEngineering
11
  results: []
 
17
  # MTSUSpring2025SoftwareEngineering
18
 
19
  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 1.1089
22
+ - Rouge1: 0.3231
23
+ - Rouge2: 0.2685
24
+ - Rougel: 0.313
25
+ - Rougelsum: 0.313
26
+ - Gen Len: 19.8572
27
 
28
  ## Model description
29
 
 
42
  ### Training hyperparameters
43
 
44
  The following hyperparameters were used during training:
45
+ - learning_rate: 0.0002
46
  - train_batch_size: 4
47
  - eval_batch_size: 4
48
  - seed: 42
 
51
  - num_epochs: 5
52
  - mixed_precision_training: Native AMP
53
 
54
+ ### Training results
55
+
56
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
57
+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
58
+ | 1.4692 | 1.0 | 14778 | 1.3005 | 0.3197 | 0.2609 | 0.3087 | 0.3087 | 19.8338 |
59
+ | 1.3442 | 2.0 | 29556 | 1.2153 | 0.321 | 0.2648 | 0.3108 | 0.3108 | 19.8476 |
60
+ | 1.2638 | 3.0 | 44334 | 1.1495 | 0.3214 | 0.2659 | 0.3112 | 0.3112 | 19.8867 |
61
+ | 1.2194 | 4.0 | 59112 | 1.1216 | 0.323 | 0.2682 | 0.3131 | 0.3131 | 19.8804 |
62
+ | 1.1679 | 5.0 | 73890 | 1.1089 | 0.3231 | 0.2685 | 0.313 | 0.313 | 19.8572 |
63
+
64
+
65
  ### Framework versions
66
 
67
  - Transformers 4.48.3
generation_config.json CHANGED
@@ -1,5 +1,4 @@
1
  {
2
- "_from_model_config": true,
3
  "decoder_start_token_id": 0,
4
  "eos_token_id": 1,
5
  "pad_token_id": 0,
 
1
  {
 
2
  "decoder_start_token_id": 0,
3
  "eos_token_id": 1,
4
  "pad_token_id": 0,
runs/Mar20_15-39-12_ed53a04bf957/events.out.tfevents.1742485179.ed53a04bf957.1845.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6d6b1aaaadd81330ea98f564a45ddd742ec56203b13d5e42800157c5df1ff793
3
- size 39758
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7ce3abd5da359593cfd2bfd945584ac580c656eec0d8d8a022a112d8499b24fc
3
+ size 40653