File size: 4,597 Bytes
fddbd3a
 
 
 
 
 
 
 
e37802e
fddbd3a
 
 
 
 
e37802e
fddbd3a
 
 
 
 
 
 
e37802e
fddbd3a
e37802e
 
fddbd3a
e37802e
 
fddbd3a
e37802e
 
fddbd3a
e37802e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
fddbd3a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9d616e8
fddbd3a
 
06a006a
 
 
 
 
 
 
 
 
 
 
 
 
fddbd3a
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- summarize_from_feedback
metrics:
- rouge
pipeline_tag: summarization
model-index:
- name: flan-t5-large-finetuned-openai-summarize_from_feedback
  results:
  - task:
      type: text2text-generation
      name: Sequence-to-sequence Language Modeling
    dataset:
      name: summarize_from_feedback
      type: summarize_from_feedback
      config: comparisons
      split: train
      args: comparisons
    metrics:
    - type: rouge
      value: 30.2401
      name: Rouge1
    - type: rouge
      value: 11.4916
      name: Rouge2
    - type: rouge
      value: 24.6485
      name: RougeL
    - type: rouge
      value: 26.1801
      name: RougeLSum
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: cnn_dailymail
      type: cnn_dailymail
      config: 3.0.0
      split: test
    metrics:
    - type: rouge
      value: 23.0407
      name: ROUGE-1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmViMTI3Mzg3ZDlkMDJlMjBiODU1NTIyNmVmOWFjMzIzZDVkNTc4NWI0MGIzYTJmYmUyMDM4ZTk2Y2Q5YzVjNSIsInZlcnNpb24iOjF9.oyqMHGGnGCE1f3JUNBg9c2ThycvlecuoZVWcGXvOcm0SbenpBobLEnczlFb4qx3ySwDUsL7uVtFW7F46Lz_CAg
    - type: rouge
      value: 8.5384
      name: ROUGE-2
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWZmOGYzODgyN2VjNjlmMWZiYzY3ZDIwNjAyZGExNDc3ZmZmMzIwMzk2NGVlNTZiMWIwZDUxM2IwNWU4OWQ5ZSIsInZlcnNpb24iOjF9.dCSVXAMFQQASe6fpPEOJu3Cfsd6Adm1L53xF0Job6W2Qd78M91wfl0715sUiFpsEKWKN9Z9bnhGA7d-SScVSAA
    - type: rouge
      value: 17.6719
      name: ROUGE-L
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjkwOTA5YzNmYTc2YmRhNTFmYzc4MmE1ZjI5YmE1NDJiNjliNWRmNWU3MTg3MDgxY2RjZTZkMGZkZDY0MTIzNyIsInZlcnNpb24iOjF9.8-0VXD5ZGKIAGhjvuiBAchDZxyVWKczwiBxWDIQEItT3egSjYefGN8eOo9Z7R7sToX_li7IPeajVl3PbrQgPCg
    - type: rouge
      value: 20.9526
      name: ROUGE-LSUM
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGNkYjdiMzE4MWQxZmIyMjYzM2Y0MDU3YmFlZDg1ZmE5NTBiZTVhM2NkYTRjMmU1ZWE5MmUwMmI2NmM5ODZkMyIsInZlcnNpb24iOjF9.qjFjlfIVHew80u5t_U44n9J6_PufNyv3faHaqML_pgo3VYBrbZWHX75jnBHThueWSK2hQhhmwaxSmR4ZYndRBA
    - type: loss
      value: 2.6858959197998047
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWEwMzJiODEzY2Y0OTE3NzAyMzM1MjAxYzJjN2Y2ZGU3MGQ0MjFmZDg5ZGFlNGQ1YjJlN2I5MTFhNDE3NjZkYyIsInZlcnNpb24iOjF9.cPkbHIU3UQYMF7gUZx9Iqu-265jgv7pcgedRdVEsvxq2gfgdlyFDROQK9KI2cfk4GbQogsXEca91NdKohWFtCA
    - type: gen_len
      value: 18.9249
      name: gen_len
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTM3M2M0YjIzMTNmNTg2OTVmNDJhZjEwODEzNTBkODk0N2E0ZTZjNjg4MWY1OTk1ZGMzZTRmNzVkN2Y2ZDE4NyIsInZlcnNpb24iOjF9.Qo6HhXLr-j-aPKRL3ZVdMJMwTCQAUhAPUcLlN-2lGSS9tAoxVJEYr0O8SttMWbBDw3owivQdduxVre9SGUKuBQ
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# flan-t5-large-finetuned-openai-summarize_from_feedback

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the summarize_from_feedback dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3118
- Rouge1: 30.2401
- Rouge2: 11.4916
- Rougel: 24.6485
- Rougelsum: 26.1801
- Gen Len: 18.8428

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

See [Tensorboard](https://huggingface.co/mrm8488/flan-t5-large-finetuned-openai-summarize_from_feedback/tensorboard)


### Citation

```
@misc {manuel_romero_2023,
	author       = { {Manuel Romero} },
	title        = { flan-t5-large-finetuned-openai-summarize_from_feedback (Revision 51666f9) },
	year         = 2023,
	url          = { https://huggingface.co/mrm8488/flan-t5-large-finetuned-openai-summarize_from_feedback },
	doi          = { 10.57967/hf/0266 },
	publisher    = { Hugging Face }
}
```

### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2