MohammadRahimi
commited on
Commit
•
8342380
1
Parent(s):
d3027e0
update model card README.md
Browse files
README.md
ADDED
@@ -0,0 +1,86 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
tags:
|
4 |
+
- generated_from_trainer
|
5 |
+
datasets:
|
6 |
+
- pn_summary
|
7 |
+
metrics:
|
8 |
+
- rouge
|
9 |
+
model-index:
|
10 |
+
- name: mt5-small-persian-dataset
|
11 |
+
results:
|
12 |
+
- task:
|
13 |
+
name: Sequence-to-sequence Language Modeling
|
14 |
+
type: text2text-generation
|
15 |
+
dataset:
|
16 |
+
name: pn_summary
|
17 |
+
type: pn_summary
|
18 |
+
config: 1.0.0
|
19 |
+
split: validation
|
20 |
+
args: 1.0.0
|
21 |
+
metrics:
|
22 |
+
- name: Rouge1
|
23 |
+
type: rouge
|
24 |
+
value: 28.6676
|
25 |
+
---
|
26 |
+
|
27 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
28 |
+
should probably proofread and complete it, then remove this comment. -->
|
29 |
+
|
30 |
+
# mt5-small-persian-dataset
|
31 |
+
|
32 |
+
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the pn_summary dataset.
|
33 |
+
It achieves the following results on the evaluation set:
|
34 |
+
- Loss: 1.9495
|
35 |
+
- Rouge1: 28.6676
|
36 |
+
- Rouge2: 12.4796
|
37 |
+
- Rougel: 26.0552
|
38 |
+
- Rougelsum: 26.0624
|
39 |
+
|
40 |
+
## Model description
|
41 |
+
|
42 |
+
More information needed
|
43 |
+
|
44 |
+
## Intended uses & limitations
|
45 |
+
|
46 |
+
More information needed
|
47 |
+
|
48 |
+
## Training and evaluation data
|
49 |
+
|
50 |
+
More information needed
|
51 |
+
|
52 |
+
## Training procedure
|
53 |
+
|
54 |
+
### Training hyperparameters
|
55 |
+
|
56 |
+
The following hyperparameters were used during training:
|
57 |
+
- learning_rate: 5.6e-05
|
58 |
+
- train_batch_size: 8
|
59 |
+
- eval_batch_size: 8
|
60 |
+
- seed: 42
|
61 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
62 |
+
- lr_scheduler_type: linear
|
63 |
+
- num_epochs: 10
|
64 |
+
|
65 |
+
### Training results
|
66 |
+
|
67 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|
68 |
+
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
|
69 |
+
| 4.3518 | 1.0 | 1139 | 2.2437 | 24.8632 | 10.0197 | 22.5098 | 22.5578 |
|
70 |
+
| 2.8053 | 2.0 | 2278 | 2.1084 | 26.7746 | 11.2038 | 24.1918 | 24.1592 |
|
71 |
+
| 2.5852 | 3.0 | 3417 | 2.0525 | 27.3138 | 11.6092 | 24.795 | 24.765 |
|
72 |
+
| 2.4537 | 4.0 | 4556 | 2.0333 | 27.8395 | 11.92 | 25.1716 | 25.1786 |
|
73 |
+
| 2.3629 | 5.0 | 5695 | 1.9973 | 28.4229 | 12.2162 | 25.7546 | 25.7399 |
|
74 |
+
| 2.3007 | 6.0 | 6834 | 1.9752 | 28.259 | 12.3229 | 25.6448 | 25.6348 |
|
75 |
+
| 2.2527 | 7.0 | 7973 | 1.9605 | 28.7359 | 12.608 | 26.0384 | 26.0478 |
|
76 |
+
| 2.2227 | 8.0 | 9112 | 1.9571 | 28.5958 | 12.4125 | 25.9516 | 25.9815 |
|
77 |
+
| 2.1983 | 9.0 | 10251 | 1.9557 | 28.5015 | 12.4138 | 25.8887 | 25.8967 |
|
78 |
+
| 2.1769 | 10.0 | 11390 | 1.9495 | 28.6676 | 12.4796 | 26.0552 | 26.0624 |
|
79 |
+
|
80 |
+
|
81 |
+
### Framework versions
|
82 |
+
|
83 |
+
- Transformers 4.26.1
|
84 |
+
- Pytorch 1.13.1+cu116
|
85 |
+
- Datasets 2.10.1
|
86 |
+
- Tokenizers 0.13.2
|