End of training
Browse files
README.md
CHANGED
@@ -5,9 +5,24 @@ tags:
|
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
7 |
- govreport-summarization
|
|
|
|
|
8 |
model-index:
|
9 |
- name: govreport-summarization
|
10 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
11 |
---
|
12 |
|
13 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -16,6 +31,13 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
# govreport-summarization
|
17 |
|
18 |
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the govreport-summarization dataset.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
19 |
|
20 |
## Model description
|
21 |
|
@@ -40,13 +62,16 @@ The following hyperparameters were used during training:
|
|
40 |
- seed: 42
|
41 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
42 |
- lr_scheduler_type: linear
|
43 |
-
- num_epochs:
|
44 |
|
45 |
### Training results
|
46 |
|
47 |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
48 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
|
49 |
-
|
|
|
|
|
|
|
|
50 |
|
51 |
|
52 |
### Framework versions
|
|
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
7 |
- govreport-summarization
|
8 |
+
metrics:
|
9 |
+
- rouge
|
10 |
model-index:
|
11 |
- name: govreport-summarization
|
12 |
+
results:
|
13 |
+
- task:
|
14 |
+
name: Sequence-to-sequence Language Modeling
|
15 |
+
type: text2text-generation
|
16 |
+
dataset:
|
17 |
+
name: govreport-summarization
|
18 |
+
type: govreport-summarization
|
19 |
+
config: document
|
20 |
+
split: train[:17000]
|
21 |
+
args: document
|
22 |
+
metrics:
|
23 |
+
- name: Rouge1
|
24 |
+
type: rouge
|
25 |
+
value: 0.1673
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
31 |
# govreport-summarization
|
32 |
|
33 |
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the govreport-summarization dataset.
|
34 |
+
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 2.2117
|
36 |
+
- Rouge1: 0.1673
|
37 |
+
- Rouge2: 0.0792
|
38 |
+
- Rougel: 0.1398
|
39 |
+
- Rougelsum: 0.1398
|
40 |
+
- Gen Len: 19.0
|
41 |
|
42 |
## Model description
|
43 |
|
|
|
62 |
- seed: 42
|
63 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
64 |
- lr_scheduler_type: linear
|
65 |
+
- num_epochs: 4
|
66 |
|
67 |
### Training results
|
68 |
|
69 |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
70 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
|
71 |
+
| 2.6565 | 1.0 | 850 | 2.3189 | 0.164 | 0.0744 | 0.1364 | 0.1365 | 19.0 |
|
72 |
+
| 2.3913 | 2.0 | 1700 | 2.2522 | 0.1656 | 0.0766 | 0.1379 | 0.138 | 19.0 |
|
73 |
+
| 2.2813 | 3.0 | 2550 | 2.2187 | 0.1669 | 0.0779 | 0.1393 | 0.1394 | 19.0 |
|
74 |
+
| 2.2273 | 4.0 | 3400 | 2.2117 | 0.1673 | 0.0792 | 0.1398 | 0.1398 | 19.0 |
|
75 |
|
76 |
|
77 |
### Framework versions
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 242041896
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9cc2d33573edd3857cdd485ba2f709ff0fd29e95368c608f560ce4851a5290a2
|
3 |
size 242041896
|
runs/May19_14-43-38_a033b7fcf4e6/events.out.tfevents.1716129820.a033b7fcf4e6.34.0
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 sha256:3b3671580021e09f7a0471ed4abd7b10e95c54d346c1feaab0966bf4b76244d9
|
3 |
+
size 9332
|