Hugging Face's logo

ZhiguangHan
/
mt5-small-task2-dataset1

Text2Text Generation
Transformers
TensorBoard
Safetensors
mt5
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
ZhiguangHan commited on
Commit
95e634e
•
1 Parent(s): 55aacb1

End of training

Browse files
Files changed (1) hide show
  1. README.md +20 -17
README.md CHANGED
@@ -4,7 +4,7 @@ base_model: google/mt5-small
4
  tags:
5
  - generated_from_trainer
6
  metrics:
7
- - rouge
8
  model-index:
9
  - name: mt5-small-task2-dataset1
10
  results: []
@@ -17,11 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.3758
21
- - Rouge1: 0.0
22
- - Rouge2: 0.0
23
- - Rougel: 0.0
24
- - Rougelsum: 0.0
25
 
26
  ## Model description
27
 
@@ -41,23 +38,29 @@ More information needed
41
 
42
  The following hyperparameters were used during training:
43
  - learning_rate: 5.6e-05
44
- - train_batch_size: 8
45
- - eval_batch_size: 8
46
  - seed: 42
47
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
  - lr_scheduler_type: linear
49
- - num_epochs: 6
50
 
51
  ### Training results
52
 
53
- | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
54
- |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
55
- | 6.3064 | 1.0 | 500 | 1.0845 | 0.0 | 0.0 | 0.0 | 0.0 |
56
- | 1.2725 | 2.0 | 1000 | 0.6696 | 0.0 | 0.0 | 0.0 | 0.0 |
57
- | 0.841 | 3.0 | 1500 | 0.5226 | 0.0 | 0.0 | 0.0 | 0.0 |
58
- | 0.6707 | 4.0 | 2000 | 0.4180 | 0.0 | 0.0 | 0.0 | 0.0 |
59
- | 0.5793 | 5.0 | 2500 | 0.3848 | 0.0 | 0.0 | 0.0 | 0.0 |
60
- | 0.543 | 6.0 | 3000 | 0.3758 | 0.0 | 0.0 | 0.0 | 0.0 |
 
 
 
 
 
 
61
 
62
 
63
  ### Framework versions
 
4
  tags:
5
  - generated_from_trainer
6
  metrics:
7
+ - f1
8
  model-index:
9
  - name: mt5-small-task2-dataset1
10
  results: []
 
17
 
18
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.2115
21
+ - F1: 0.74
 
 
 
22
 
23
  ## Model description
24
 
 
38
 
39
  The following hyperparameters were used during training:
40
  - learning_rate: 5.6e-05
41
+ - train_batch_size: 16
42
+ - eval_batch_size: 16
43
  - seed: 42
44
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
  - lr_scheduler_type: linear
46
+ - num_epochs: 12
47
 
48
  ### Training results
49
 
50
+ | Training Loss | Epoch | Step | Validation Loss | F1 |
51
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
52
+ | 0.4196 | 1.0 | 250 | 0.4480 | 0.644 |
53
+ | 0.4665 | 2.0 | 500 | 0.3543 | 0.652 |
54
+ | 0.4327 | 3.0 | 750 | 0.3109 | 0.67 |
55
+ | 0.3638 | 4.0 | 1000 | 0.2842 | 0.692 |
56
+ | 0.3297 | 5.0 | 1250 | 0.2666 | 0.708 |
57
+ | 0.2953 | 6.0 | 1500 | 0.2344 | 0.728 |
58
+ | 0.2722 | 7.0 | 1750 | 0.2328 | 0.722 |
59
+ | 0.2578 | 8.0 | 2000 | 0.2224 | 0.7300 |
60
+ | 0.2435 | 9.0 | 2250 | 0.2171 | 0.732 |
61
+ | 0.2323 | 10.0 | 2500 | 0.2123 | 0.736 |
62
+ | 0.2279 | 11.0 | 2750 | 0.2121 | 0.74 |
63
+ | 0.2224 | 12.0 | 3000 | 0.2115 | 0.74 |
64
 
65
 
66
  ### Framework versions