Commit
•
5c50136
1
Parent(s):
6c5144e
End of training
Browse files
README.md
ADDED
@@ -0,0 +1,94 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: t5-small
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
datasets:
|
7 |
+
- xsum
|
8 |
+
metrics:
|
9 |
+
- rouge
|
10 |
+
model-index:
|
11 |
+
- name: t5-small-finetuned-xsum-updated
|
12 |
+
results:
|
13 |
+
- task:
|
14 |
+
name: Sequence-to-sequence Language Modeling
|
15 |
+
type: text2text-generation
|
16 |
+
dataset:
|
17 |
+
name: xsum
|
18 |
+
type: xsum
|
19 |
+
config: default
|
20 |
+
split: validation
|
21 |
+
args: default
|
22 |
+
metrics:
|
23 |
+
- name: Rouge1
|
24 |
+
type: rouge
|
25 |
+
value: 33.2945
|
26 |
+
---
|
27 |
+
|
28 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
29 |
+
should probably proofread and complete it, then remove this comment. -->
|
30 |
+
|
31 |
+
# t5-small-finetuned-xsum-updated
|
32 |
+
|
33 |
+
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
|
34 |
+
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 2.0767
|
36 |
+
- Rouge1: 33.2945
|
37 |
+
- Rouge2: 12.0165
|
38 |
+
- Rougel: 26.9804
|
39 |
+
- Rougelsum: 26.9729
|
40 |
+
- Gen Len: 18.7853
|
41 |
+
|
42 |
+
## Model description
|
43 |
+
|
44 |
+
More information needed
|
45 |
+
|
46 |
+
## Intended uses & limitations
|
47 |
+
|
48 |
+
More information needed
|
49 |
+
|
50 |
+
## Training and evaluation data
|
51 |
+
|
52 |
+
More information needed
|
53 |
+
|
54 |
+
## Training procedure
|
55 |
+
|
56 |
+
### Training hyperparameters
|
57 |
+
|
58 |
+
The following hyperparameters were used during training:
|
59 |
+
- learning_rate: 0.0001
|
60 |
+
- train_batch_size: 16
|
61 |
+
- eval_batch_size: 16
|
62 |
+
- seed: 42
|
63 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
64 |
+
- lr_scheduler_type: linear
|
65 |
+
- num_epochs: 15
|
66 |
+
- mixed_precision_training: Native AMP
|
67 |
+
|
68 |
+
### Training results
|
69 |
+
|
70 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
71 |
+
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
|
72 |
+
| 2.5219 | 1.0 | 12753 | 2.3054 | 30.4745 | 9.435 | 24.263 | 24.2522 | 18.823 |
|
73 |
+
| 2.4191 | 2.0 | 25506 | 2.2385 | 31.2305 | 10.0552 | 24.9345 | 24.9254 | 18.7562 |
|
74 |
+
| 2.3564 | 3.0 | 38259 | 2.1961 | 31.8234 | 10.6556 | 25.6109 | 25.6023 | 18.7708 |
|
75 |
+
| 2.3028 | 4.0 | 51012 | 2.1692 | 32.2053 | 11.0513 | 26.0184 | 26.0056 | 18.772 |
|
76 |
+
| 2.2737 | 5.0 | 63765 | 2.1452 | 32.3716 | 11.1779 | 26.1423 | 26.1363 | 18.7731 |
|
77 |
+
| 2.2432 | 6.0 | 76518 | 2.1304 | 32.5413 | 11.2517 | 26.2119 | 26.2098 | 18.8007 |
|
78 |
+
| 2.2266 | 7.0 | 89271 | 2.1193 | 32.8983 | 11.5683 | 26.5995 | 26.5958 | 18.8108 |
|
79 |
+
| 2.1863 | 8.0 | 102024 | 2.1058 | 32.9046 | 11.6564 | 26.6466 | 26.6473 | 18.8008 |
|
80 |
+
| 2.1583 | 9.0 | 114777 | 2.0987 | 32.9622 | 11.7285 | 26.7161 | 26.7116 | 18.7798 |
|
81 |
+
| 2.1653 | 10.0 | 127530 | 2.0900 | 33.1259 | 11.8525 | 26.8461 | 26.8419 | 18.7999 |
|
82 |
+
| 2.1403 | 11.0 | 140283 | 2.0880 | 33.0949 | 11.8135 | 26.7863 | 26.7765 | 18.7629 |
|
83 |
+
| 2.1212 | 12.0 | 153036 | 2.0825 | 33.1671 | 11.8939 | 26.9072 | 26.8982 | 18.7825 |
|
84 |
+
| 2.1021 | 13.0 | 165789 | 2.0793 | 33.1375 | 11.9119 | 26.8466 | 26.8386 | 18.8076 |
|
85 |
+
| 2.0877 | 14.0 | 178542 | 2.0774 | 33.2516 | 11.9574 | 26.9391 | 26.9327 | 18.7989 |
|
86 |
+
| 2.0984 | 15.0 | 191295 | 2.0767 | 33.2945 | 12.0165 | 26.9804 | 26.9729 | 18.7853 |
|
87 |
+
|
88 |
+
|
89 |
+
### Framework versions
|
90 |
+
|
91 |
+
- Transformers 4.35.2
|
92 |
+
- Pytorch 2.1.0+cu121
|
93 |
+
- Datasets 2.15.0
|
94 |
+
- Tokenizers 0.15.0
|
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": "4.35.2"
|
6 |
+
}
|
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 sha256:5f061863e3eb3c8161058ade2efeaddc02299b13ee189198a1daacd3e8e0f4cc
|
3 |
size 242041896
|
runs/Dec19_11-45-03_672f0575607f/events.out.tfevents.1702986304.672f0575607f.202.0
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:a9994ed2264f07f48f72e61a6da90c0f6153a34a593e25b9b148b43c28ca242d
|
3 |
+
size 74639
|