pogpog commited on
Commit
991c047
·
verified ·
1 Parent(s): 31533d8

End of training

Browse files
README.md ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: google-t5/t5-small
5
+ tags:
6
+ - generated_from_trainer
7
+ metrics:
8
+ - rouge
9
+ model-index:
10
+ - name: my_awesome_billsum_model
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # my_awesome_billsum_model
18
+
19
+ This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 2.5023
22
+ - Rouge1: 0.1491
23
+ - Rouge2: 0.0544
24
+ - Rougel: 0.124
25
+ - Rougelsum: 0.1241
26
+ - Gen Len: 20.0
27
+
28
+ ## Model description
29
+
30
+ More information needed
31
+
32
+ ## Intended uses & limitations
33
+
34
+ More information needed
35
+
36
+ ## Training and evaluation data
37
+
38
+ More information needed
39
+
40
+ ## Training procedure
41
+
42
+ ### Training hyperparameters
43
+
44
+ The following hyperparameters were used during training:
45
+ - learning_rate: 2e-05
46
+ - train_batch_size: 16
47
+ - eval_batch_size: 16
48
+ - seed: 42
49
+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
50
+ - lr_scheduler_type: linear
51
+ - num_epochs: 4
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
+ | No log | 1.0 | 62 | 2.7997 | 0.1309 | 0.0361 | 0.1087 | 0.1091 | 20.0 |
59
+ | No log | 2.0 | 124 | 2.5860 | 0.1443 | 0.0502 | 0.1192 | 0.1195 | 20.0 |
60
+ | No log | 3.0 | 186 | 2.5203 | 0.1466 | 0.0535 | 0.1221 | 0.1221 | 20.0 |
61
+ | No log | 4.0 | 248 | 2.5023 | 0.1491 | 0.0544 | 0.124 | 0.1241 | 20.0 |
62
+
63
+
64
+ ### Framework versions
65
+
66
+ - Transformers 4.51.3
67
+ - Pytorch 2.6.0+cu124
68
+ - Datasets 3.5.1
69
+ - Tokenizers 0.21.1
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "decoder_start_token_id": 0,
3
+ "eos_token_id": 1,
4
+ "pad_token_id": 0,
5
+ "transformers_version": "4.51.3"
6
+ }
runs/May06_10-21-38_015ea026ed7f/events.out.tfevents.1746526905.015ea026ed7f.203.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:aee34070f40d0de3c9804defc4d6e298b8a07a564e615843a761f8473b96ffff
3
- size 7543
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1d91d8d38cc542e4a06dd6d63461e37e5af6dfe3580747b03b7441fe20a7bd2
3
+ size 8422