antonkurylo
commited on
Commit
•
f1e29bd
1
Parent(s):
f8528d6
Training complete
Browse files
README.md
ADDED
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
license: apache-2.0
|
4 |
+
base_model: t5-base
|
5 |
+
tags:
|
6 |
+
- summarization
|
7 |
+
- generated_from_trainer
|
8 |
+
metrics:
|
9 |
+
- rouge
|
10 |
+
model-index:
|
11 |
+
- name: t5-base-billsum
|
12 |
+
results: []
|
13 |
+
---
|
14 |
+
|
15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
16 |
+
should probably proofread and complete it, then remove this comment. -->
|
17 |
+
|
18 |
+
# t5-base-billsum
|
19 |
+
|
20 |
+
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
|
21 |
+
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 1.6188
|
23 |
+
- Rouge1: 51.4114
|
24 |
+
- Rouge2: 30.6521
|
25 |
+
- Rougel: 40.9417
|
26 |
+
- Rougelsum: 44.6839
|
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
50 |
+
- lr_scheduler_type: linear
|
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 |
|
57 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
|
58 |
+
| 1.9236 | 1.0 | 1185 | 1.5895 | 52.5513 | 32.239 | 42.0215 | 45.9665 |
|
59 |
+
| 1.7231 | 2.0 | 2370 | 1.5380 | 53.3168 | 33.2784 | 42.9286 | 46.7854 |
|
60 |
+
| 1.6708 | 3.0 | 3555 | 1.5187 | 53.2982 | 33.3262 | 42.979 | 46.8863 |
|
61 |
+
| 1.7884 | 4.0 | 4740 | 1.6197 | 51.4854 | 30.768 | 41.0231 | 44.7727 |
|
62 |
+
| 1.8212 | 5.0 | 5925 | 1.6188 | 51.4114 | 30.6521 | 40.9417 | 44.6839 |
|
63 |
+
|
64 |
+
|
65 |
+
### Framework versions
|
66 |
+
|
67 |
+
- Transformers 4.44.2
|
68 |
+
- Pytorch 2.4.1+cu121
|
69 |
+
- Datasets 3.0.2
|
70 |
+
- Tokenizers 0.19.1
|
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": "4.44.2"
|
6 |
+
}
|
runs/Oct22_16-00-01_c5b14526d5c3/events.out.tfevents.1729612824.c5b14526d5c3.705.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9109467b0059cda7641f5a4b95c26d9631c42b57ea1c57286e672c7c7cdc500e
|
3 |
+
size 9674
|
runs/Oct22_16-00-01_c5b14526d5c3/events.out.tfevents.1729618850.c5b14526d5c3.705.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0e300d562bb531f4467a2ea22ddca8ee2a583a0c7b492f89aa45eafc434693ef
|
3 |
+
size 562
|