yangheng commited on
Commit
2e9744a
1 Parent(s): 878338f

upload_ckpt

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. README.md +3 -2
  2. app.py +93 -0
  3. checkpoint-v1.16.json +634 -0
  4. checkpoint-v1.2.json +266 -0
  5. checkpoint/Chinese/APC/fast_lcf_bert_Chinese_acc_97.11_f1_96.54.zip +3 -0
  6. checkpoint/Chinese/ATEPC/fast_lcf_atepc_Chinese_cdw_apcacc_96.09_apcf1_95.14_atef1_83.69.zip +3 -0
  7. checkpoint/Chinese/ATEPC/fast_lcf_atepc_Chinese_cdw_apcacc_96.0_apcf1_94.96_atef1_91.34.zip +3 -0
  8. checkpoint/English/APC/fast_lsa_s_acc_84.9_f1_82.11.zip +3 -0
  9. checkpoint/English/APC/fast_lsa_t_English_acc_84.23_f1_83.65.zip +3 -0
  10. checkpoint/English/APC/fast_lsa_t_acc_84.84_f1_82.36.zip +3 -0
  11. checkpoint/English/APC/fast_lsa_t_v2_Multilingual_acc_88.44_f1_82.66.zip +3 -0
  12. checkpoint/English/ATEPC/fast_lcf_atepc_English_cdw_apcacc_80.16_apcf1_78.34_atef1_75.39.zip +3 -0
  13. checkpoint/English/ATEPC/fast_lcf_atepc_English_cdw_apcacc_82.93_apcf1_80.7_atef1_78.77.zip +3 -0
  14. checkpoint/English/ATEPC/fast_lcf_atepc_English_cdw_apcacc_85.03_apcf1_82.76_atef1_84.8.zip +3 -0
  15. checkpoint/English/ATEPC/fast_lcf_atepc_English_cdw_apcacc_85.4_apcf1_82.53_atef1_80.19.zip +3 -0
  16. checkpoint/English/TAD/TAD-AGNews10K.zip +3 -0
  17. checkpoint/English/TAD/TAD-AGNews10KBAE.zip +3 -0
  18. checkpoint/English/TAD/TAD-AGNews10KPWWS.zip +3 -0
  19. checkpoint/English/TAD/TAD-AGNews10KTextFooler.zip +3 -0
  20. checkpoint/English/TAD/TAD-Amazon.zip +3 -0
  21. checkpoint/English/TAD/TAD-AmazonBAE.zip +3 -0
  22. checkpoint/English/TAD/TAD-AmazonPWWS.zip +3 -0
  23. checkpoint/English/TAD/TAD-AmazonTextFooler.zip +3 -0
  24. checkpoint/English/TAD/TAD-BERT-AGNews10K.zip +3 -0
  25. checkpoint/English/TAD/TAD-BERT-AGNews10KBAE.zip +3 -0
  26. checkpoint/English/TAD/TAD-BERT-AGNews10KPWWS.zip +3 -0
  27. checkpoint/English/TAD/TAD-BERT-AGNews10KTextFooler.zip +3 -0
  28. checkpoint/English/TAD/TAD-BERT-Amazon.zip +3 -0
  29. checkpoint/English/TAD/TAD-BERT-AmazonBAE.zip +3 -0
  30. checkpoint/English/TAD/TAD-BERT-AmazonPWWS.zip +3 -0
  31. checkpoint/English/TAD/TAD-BERT-AmazonTextFooler.zip +3 -0
  32. checkpoint/English/TAD/TAD-BERT-SST2.zip +3 -0
  33. checkpoint/English/TAD/TAD-BERT-SST2BAE.zip +3 -0
  34. checkpoint/English/TAD/TAD-BERT-SST2PWWS.zip +3 -0
  35. checkpoint/English/TAD/TAD-BERT-SST2TextFooler.zip +3 -0
  36. checkpoint/English/TAD/TAD-SST2.zip +3 -0
  37. checkpoint/English/TAD/TAD-SST2BAE.zip +3 -0
  38. checkpoint/English/TAD/TAD-SST2PWWS.zip +3 -0
  39. checkpoint/English/TAD/TAD-SST2TextFooler.zip +3 -0
  40. checkpoint/English/TC/TC-AGNews10K.zip +3 -0
  41. checkpoint/English/TC/TC-IMDB10K.zip +3 -0
  42. checkpoint/English/TC/TC-SST2.zip +3 -0
  43. checkpoint/Multilingual/APC/fast_lcf_bert_Multilingual_acc_94.72_f1_90.07.zip +3 -0
  44. checkpoint/Multilingual/ATEPC/fast_lcf_atepc_Multilingual_cdw_apcacc_86.68_apcf1_80.63_atef1_75.15.zip +3 -0
  45. checkpoint/Multilingual/ATEPC/fast_lcf_atepc_Multilingual_cdw_apcacc_86.76_apcf1_79.78_atef1_78.03.zip +3 -0
  46. checkpoint/Multilingual/ATEPC/fast_lcf_atepc_Multilingual_cdw_apcacc_87.09_apcf1_79.95_atef1_75.55.zip +3 -0
  47. checkpoint/Multilingual/ATEPC/fast_lcf_atepc_Multilingual_cdw_apcacc_87.21_apcf1_81.53_atef1_82.82.zip +3 -0
  48. checkpoint/Multilingual/ATEPC/fast_lcf_atepc_Multilingual_cdw_apcacc_87.4_apcf1_81.27_atef1_82.97.zip +3 -0
  49. checkpoint/Multilingual/ATEPC/fast_lcf_atepc_Multilingual_cdw_apcacc_88.96_apcf1_81.58_atef1_81.92.zip +3 -0
  50. checkpoints.json +1 -0
README.md CHANGED
@@ -3,10 +3,11 @@ title: PyABSA ATEPC
3
  emoji: 📈
4
  colorFrom: purple
5
  colorTo: yellow
6
- sdk: gradio
7
- sdk_version: 2.8.14
8
  app_file: app.py
9
  pinned: false
 
 
 
10
  ---
11
 
12
  Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference
3
  emoji: 📈
4
  colorFrom: purple
5
  colorTo: yellow
 
 
6
  app_file: app.py
7
  pinned: false
8
+ sdk: gradio
9
+ sdk_version: 3.0.24
10
+ license: mit
11
  ---
12
 
13
  Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference
app.py ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import random
3
+ import gradio as gr
4
+ import pandas as pd
5
+ import requests
6
+
7
+ from pyabsa import ATEPCCheckpointManager
8
+ from pyabsa.functional.dataset.dataset_manager import download_datasets_from_github, ABSADatasetList, detect_infer_dataset
9
+
10
+ download_datasets_from_github(os.getcwd())
11
+
12
+ dataset_items = {dataset.name: dataset for dataset in ABSADatasetList()}
13
+
14
+ URL = 'https://api.visitorbadge.io/api/combined?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2Fyangheng%2Fpyabsa_inference&label=Inference%20Count&labelColor=%2337d67a&countColor=%23f47373&style=flat&labelStyle=none'
15
+
16
+ def get_example(dataset):
17
+ task = 'apc'
18
+ dataset_file = detect_infer_dataset(dataset_items[dataset], task)
19
+
20
+ for fname in dataset_file:
21
+ lines = []
22
+ if isinstance(fname, str):
23
+ fname = [fname]
24
+
25
+ for f in fname:
26
+ print('loading: {}'.format(f))
27
+ fin = open(f, 'r', encoding='utf-8')
28
+ lines.extend(fin.readlines())
29
+ fin.close()
30
+ for i in range(len(lines)):
31
+ lines[i] = lines[i][:lines[i].find('!sent!')].replace('[ASP]', '')
32
+ return sorted(set(lines), key=lines.index)
33
+
34
+
35
+ dataset_dict = {dataset.name: get_example(dataset.name) for dataset in ABSADatasetList()}
36
+ aspect_extractor = ATEPCCheckpointManager.get_aspect_extractor(checkpoint='multilingual-256-2')
37
+
38
+
39
+ def perform_inference(text, dataset):
40
+ if not text:
41
+ text = dataset_dict[dataset][random.randint(0, len(dataset_dict[dataset]) - 1)]
42
+
43
+ result = aspect_extractor.extract_aspect(inference_source=[text],
44
+ pred_sentiment=True)
45
+
46
+ result = pd.DataFrame({
47
+ 'aspect': result[0]['aspect'],
48
+ 'sentiment': result[0]['sentiment'],
49
+ # 'probability': result[0]['probs'],
50
+ 'confidence': [round(x, 4) for x in result[0]['confidence']],
51
+ 'position': result[0]['position']
52
+ })
53
+ requests.get(URL)
54
+ return result, '{}'.format(text)
55
+
56
+
57
+ demo = gr.Blocks()
58
+
59
+ with demo:
60
+ gr.Markdown("# <p align='center'>Multilingual Aspect-based Sentiment Analysis !</p>")
61
+ gr.Markdown("""### Repo: [PyABSA](https://github.com/yangheng95/PyABSA)
62
+ ### Author: [Heng Yang](https://github.com/yangheng95) (杨恒)
63
+ [![Downloads](https://pepy.tech/badge/pyabsa)](https://pepy.tech/project/pyabsa)
64
+ [![Downloads](https://pepy.tech/badge/pyabsa/month)](https://pepy.tech/project/pyabsa)
65
+ """
66
+ )
67
+ gr.Markdown("Your input text should be no more than 80 words, that's the longest text we used in training. However, you can try longer text in self-training ")
68
+ gr.Markdown("**You don't need to split each Chinese (Korean, etc.) token as the provided, just input the natural language text.**")
69
+ gr.Markdown("请确保输入的文本长度不超过200词,这是训练时的最大文本长度,过长将不会获得结果")
70
+ gr.Markdown("**提供的中文等其他非拉丁语系数据集采用了空格分字,这是早期数据集的遗留问题,预测时不用对中文等语言进行空格分字**")
71
+ output_dfs = []
72
+ with gr.Row():
73
+ with gr.Column():
74
+ input_sentence = gr.Textbox(placeholder='Leave this box blank and choose a dataset will give you a random example...', label="Example:")
75
+ gr.Markdown("You can find the datasets at [github.com/yangheng95/ABSADatasets](https://github.com/yangheng95/ABSADatasets/tree/v1.2/datasets/text_classification)")
76
+ dataset_ids = gr.Radio(choices=[dataset.name for dataset in ABSADatasetList()[:-1]], value='Laptop14', label="Datasets")
77
+ inference_button = gr.Button("Let's go!")
78
+ gr.Markdown("There is a [demo](https://huggingface.co/spaces/yangheng/PyABSA-ATEPC-Chinese) specialized for the Chinese langauge")
79
+ gr.Markdown("This demo support many other language as well, you can try and explore the results of other languages by yourself.")
80
+
81
+ with gr.Column():
82
+ output_text = gr.TextArea(label="Example:")
83
+ output_df = gr.DataFrame(label="Prediction Results:")
84
+ output_dfs.append(output_df)
85
+
86
+ inference_button.click(fn=perform_inference,
87
+ inputs=[input_sentence, dataset_ids],
88
+ outputs=[output_df, output_text])
89
+
90
+ gr.Markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=https://huggingface.co/spaces/yangheng/Multilingual-Aspect-Based-Sentiment-Analysis)")
91
+ gr.Markdown("![Visitors]({})".format(URL))
92
+
93
+ demo.launch(share=True)
checkpoint-v1.16.json ADDED
@@ -0,0 +1,634 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "1.16.0+": {
3
+ "APC": {
4
+ "english": {
5
+ "id": "https://drive.google.com/file/d/1JIFhaAdoCeZI5CQqfOix3pnrYa6_Mf9S/view?usp=sharing",
6
+ "Training Model": "FAST-LSA-S",
7
+ "Training Dataset": "English",
8
+ "Language": "English",
9
+ "Description": "Trained on RTX3090",
10
+ "Available Version": "1.6.3+",
11
+ "Checkpoint File": "fast_lsa_s_acc_84.9_f1_82.11.zip",
12
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
13
+ },
14
+ "chinese": {
15
+ "id": "https://drive.google.com/file/d/1B0RHazOCm2eOWLWExQkeapHr9d3OiZl7/view?usp=sharing",
16
+ "Training Model": "FAST-LCF-MDeBERTa",
17
+ "Training Dataset": "Chinese",
18
+ "Language": "Chinese",
19
+ "Description": "Trained on RTX3090",
20
+ "Available Version": "1.8.2+",
21
+ "Checkpoint File": "fast_lcf_bert_Chinese_acc_97.11_f1_96.54.zip",
22
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
23
+ },
24
+ "multilingual": {
25
+ "id": "https://drive.google.com/file/d/15ls1hcGvk27UnfMsXZtk780h7tTBbNws/view?usp=sharing",
26
+ "Training Model": "FAST-LCF-Deberta",
27
+ "Training Dataset": "Multilingual",
28
+ "Language": "Multilingual",
29
+ "Description": "Trained on RTX3090",
30
+ "Available Version": "1.8.2+",
31
+ "Checkpoint File": "fast_lcf_bert_Multilingual_acc_94.72_f1_90.07.zip",
32
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
33
+ },
34
+ "multilingual2": {
35
+ "id": "https://drive.google.com/file/d/1YCYKpEnff-DBUHd-8vWmgsnng5ZT_2cs/view?usp=sharing",
36
+ "Training Model": "FAST-LCF-Deberta",
37
+ "Training Dataset": "Multilingual",
38
+ "Language": "Multilingual",
39
+ "Description": "Trained on RTX3090",
40
+ "Available Version": "1.10.5+",
41
+ "Checkpoint File": "fast_lsa_t_v2_Multilingual_acc_88.44_f1_82.66.zip",
42
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
43
+ },
44
+ "dlcf-dca-bert1": {
45
+ "id": "https://drive.google.com/file/d/1w-NtWujPglsvZu4-jC6Vmu8Iz8CvX-1u/view?usp=sharing",
46
+ "Training Model": "dlcf-dca-bert",
47
+ "Training Dataset": "Laptop 14",
48
+ "Language": "English",
49
+ "Description": "Trained on T4",
50
+ "Available Version": "1.1.17-1.1.23",
51
+ "Author": "M, Xu (xumayi@m.scnu.edu.cn)"
52
+ },
53
+ "dlcf-dca-bert2": {
54
+ "id": "https://drive.google.com/file/d/1w-NtWujPglsvZu4-jC6Vmu8Iz8CvX-1u/view?usp=sharing",
55
+ "Training Model": "dlcf-dca-bert",
56
+ "Training Dataset": "Restaurant 14",
57
+ "Language": "English",
58
+ "Description": "Trained on T4",
59
+ "Available Version": "1.1.17-1.1.23",
60
+ "Author": "M, Xu (xumayi@m.scnu.edu.cn)"
61
+ },
62
+ "HELP-WANTED": {
63
+ "id": "",
64
+ "Description": "You can help us by sharing checkpoints (e.g. models trained on you own datasets) with community.",
65
+ "Checkpoint File": "PLEASE NOTE THAT THIS IS NOT A REAL CHECKPOINT!",
66
+ "Available Version": ""
67
+ }
68
+ },
69
+ "ATEPC": {
70
+ "english": {
71
+ "id": "",
72
+ "Training Model": "FAST-LCFS-ATEPC",
73
+ "Training Dataset": "English",
74
+ "Language": "English",
75
+ "Description": "Trained on RTX3090, this checkpoint use bert-spc in ATEPC training",
76
+ "Available Version": "1.16.0+",
77
+ "Checkpoint File": "fast_lcf_atepc_English_cdw_apcacc_85.4_apcf1_82.53_atef1_80.19.zip",
78
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
79
+ },
80
+ "chinese": {
81
+ "id": "",
82
+ "Training Model": "FAST-LCF-ATEPC",
83
+ "Training Dataset": "Chinese",
84
+ "Language": "Chinese",
85
+ "Description": "Trained on RTX3090 BERT-BASE-CHINESE",
86
+ "Available Version": "1.16.0+",
87
+ "Checkpoint File": "fast_lcf_atepc_Chinese_cdw_apcacc_96.09_apcf1_95.14_atef1_83.69.zip",
88
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
89
+ },
90
+ "multilingual": {
91
+ "id": "",
92
+ "Training Model": "FAST-LCF-ATEPC",
93
+ "Training Dataset": "ABSADatasets.Multilingual",
94
+ "Language": "Multilingual",
95
+ "Description": "Trained on RTX3090",
96
+ "Available Version": "1.16.0+",
97
+ "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_86.76_apcf1_79.78_atef1_78.03.zip",
98
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
99
+ },
100
+ "multilingual-256": {
101
+ "id": "",
102
+ "Training Model": "FAST-LCF-ATEPC",
103
+ "Training Dataset": "ABSADatasets.Multilingual",
104
+ "Language": "Multilingual",
105
+ "Description": "Trained on RTX3090",
106
+ "Available Version": "1.16.0+",
107
+ "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_87.09_apcf1_79.95_atef1_75.55.zip",
108
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
109
+ },
110
+ "multilingual-256-2": {
111
+ "id": "",
112
+ "Training Model": "FAST-LCF-ATEPC",
113
+ "Training Dataset": "ABSADatasets.Multilingual",
114
+ "Language": "Multilingual",
115
+ "Description": "Trained on RTX3090",
116
+ "Available Version": "1.16.0+",
117
+ "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_86.68_apcf1_80.63_atef1_75.15.zip",
118
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
119
+ },
120
+ "HELP-WANTED": {
121
+ "id": "",
122
+ "Description": "You can help us by sharing checkpoints (e.g. models trained on you own datasets) with community.",
123
+ "Checkpoint File": "PLEASE NOTE THAT THIS IS NOT A REAL CHECKPOINT!",
124
+ "Available Version": ""
125
+ }
126
+ },
127
+ "TC": {
128
+ "tc-sst2": {
129
+ "id": "https://drive.google.com/file/d/1KgEB7MJ8bjrBiYdbtiojreeYegnUtq51/view?usp=sharing",
130
+ "Training Model": "TAD",
131
+ "Training Dataset": "SST2",
132
+ "Language": "English",
133
+ "Description": "Trained on RTX3090",
134
+ "Available Version": "1.15+",
135
+ "Checkpoint File": "TC-SST2.zip",
136
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
137
+ },
138
+ "tc-agnews10k": {
139
+ "id": "https://drive.google.com/file/d/1JiRL19maSBiu9_1VBpP1gMwN8qkZsAtC/view?usp=sharing",
140
+ "Training Model": "TAD",
141
+ "Training Dataset": "AGNews",
142
+ "Language": "English",
143
+ "Description": "Trained on RTX3090",
144
+ "Available Version": "1.15+",
145
+ "Checkpoint File": "TC-AGNews10K.zip",
146
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
147
+ },
148
+ "tc-imdb10k": {
149
+ "id": "https://drive.google.com/file/d/1TD0xyKKEfs_S0Ze0EmEb16Eq5pdukjN_/view?usp=sharing",
150
+ "Training Model": "TAD",
151
+ "Training Dataset": "IMDB10K",
152
+ "Language": "English",
153
+ "Description": "Trained on RTX3090",
154
+ "Available Version": "1.15+",
155
+ "Checkpoint File": "TC-IMDB10K.zip",
156
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
157
+ },
158
+ "HELP-WANTED": {
159
+ "id": "",
160
+ "Description": "You can help us by sharing checkpoints (e.g. models trained on you own datasets) with community.",
161
+ "Checkpoint File": "PLEASE NOTE THAT THIS IS NOT A REAL CHECKPOINT!",
162
+ "Available Version": ""
163
+ }
164
+ },
165
+ "TAD": {
166
+ "tad-sst2": {
167
+ "id": "",
168
+ "Training Model": "TAD",
169
+ "Training Dataset": "SST2",
170
+ "Language": "English",
171
+ "Description": "Trained on RTX3090",
172
+ "Available Version": "1.15+",
173
+ "Checkpoint File": "TAD-SST2.zip",
174
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
175
+ },
176
+ "tad-bert-sst2": {
177
+ "id": "",
178
+ "Training Model": "TAD",
179
+ "Training Dataset": "SST2",
180
+ "Language": "English",
181
+ "Description": "Trained on RTX3090",
182
+ "Available Version": "1.15+",
183
+ "Checkpoint File": "TAD-BERT-SST2.zip",
184
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
185
+ },
186
+ "tad-sst2bae": {
187
+ "id": "",
188
+ "Training Model": "TAD",
189
+ "Training Dataset": "SST2",
190
+ "Language": "English",
191
+ "Description": "Trained on RTX3090",
192
+ "Available Version": "1.15+",
193
+ "Checkpoint File": "TAD-SST2BAE.zip",
194
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
195
+ },
196
+ "tad-sst2pwws": {
197
+ "id": "",
198
+ "Training Model": "TAD",
199
+ "Training Dataset": "SST2",
200
+ "Language": "English",
201
+ "Description": "Trained on RTX3090",
202
+ "Available Version": "1.15+",
203
+ "Checkpoint File": "TAD-SST2PWWS.zip",
204
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
205
+ },
206
+ "tad-sst2textfooler": {
207
+ "id": "",
208
+ "Training Model": "TAD",
209
+ "Training Dataset": "SST2",
210
+ "Language": "English",
211
+ "Description": "Trained on RTX3090",
212
+ "Available Version": "1.15+",
213
+ "Checkpoint File": "TAD-SST2TextFooler.zip",
214
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
215
+ },
216
+ "tad-agnews10k": {
217
+ "id": "",
218
+ "Training Model": "TAD",
219
+ "Training Dataset": "AGNews",
220
+ "Language": "English",
221
+ "Description": "Trained on RTX3090",
222
+ "Available Version": "1.15+",
223
+ "Checkpoint File": "TAD-AGNews10K.zip",
224
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
225
+ },
226
+ "tad-bert-agnews10k": {
227
+ "id": "",
228
+ "Training Model": "TAD",
229
+ "Training Dataset": "AGNews",
230
+ "Language": "English",
231
+ "Description": "Trained on RTX3090",
232
+ "Available Version": "1.15+",
233
+ "Checkpoint File": "TAD-BERT-AGNews10K.zip",
234
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
235
+ },
236
+ "tad-agnews10kbae": {
237
+ "id": "",
238
+ "Training Model": "TAD",
239
+ "Training Dataset": "AGNews",
240
+ "Language": "English",
241
+ "Description": "Trained on RTX3090",
242
+ "Available Version": "1.15+",
243
+ "Checkpoint File": "TAD-AGNews10KBAE.zip",
244
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
245
+ },
246
+ "tad-agnews10kpwws": {
247
+ "id": "",
248
+ "Training Model": "TAD",
249
+ "Training Dataset": "AGNews",
250
+ "Language": "English",
251
+ "Description": "Trained on RTX3090",
252
+ "Available Version": "1.15+",
253
+ "Checkpoint File": "TAD-AGNews10KPWWS.zip",
254
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
255
+ },
256
+ "tad-agnews10ktextfooler": {
257
+ "id": "",
258
+ "Training Model": "TAD",
259
+ "Training Dataset": "AGNews",
260
+ "Language": "English",
261
+ "Description": "Trained on RTX3090",
262
+ "Available Version": "1.15+",
263
+ "Checkpoint File": "TAD-AGNews10KTextFooler.zip",
264
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
265
+ },
266
+ "tad-amazon": {
267
+ "id": "",
268
+ "Training Model": "TAD",
269
+ "Training Dataset": "AGNews",
270
+ "Language": "English",
271
+ "Description": "Trained on RTX3090",
272
+ "Available Version": "1.15+",
273
+ "Checkpoint File": "TAD-Amazon.zip",
274
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
275
+ },
276
+ "tad-bert-amazon": {
277
+ "id": "",
278
+ "Training Model": "TAD",
279
+ "Training Dataset": "AGNews",
280
+ "Language": "English",
281
+ "Description": "Trained on RTX3090",
282
+ "Available Version": "1.15+",
283
+ "Checkpoint File": "TAD-Amazon-BERT.zip",
284
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
285
+ },
286
+ "tad-amazonbae": {
287
+ "id": "",
288
+ "Training Model": "TAD",
289
+ "Training Dataset": "AGNews",
290
+ "Language": "English",
291
+ "Description": "Trained on RTX3090",
292
+ "Available Version": "1.15+",
293
+ "Checkpoint File": "TAD-AmazonBAE.zip",
294
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
295
+ },
296
+ "tad-amazonpwws": {
297
+ "id": "",
298
+ "Training Model": "TAD",
299
+ "Training Dataset": "AGNews",
300
+ "Language": "English",
301
+ "Description": "Trained on RTX3090",
302
+ "Available Version": "1.15+",
303
+ "Checkpoint File": "TAD-AmazonPWWS.zip",
304
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
305
+ },
306
+ "tad-amazontextfooler": {
307
+ "id": "",
308
+ "Training Model": "TAD",
309
+ "Training Dataset": "AGNews",
310
+ "Language": "English",
311
+ "Description": "Trained on RTX3090",
312
+ "Available Version": "1.15+",
313
+ "Checkpoint File": "TAD-AmazonTextFooler.zip",
314
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
315
+ }
316
+ }
317
+ },
318
+ "1.0.0-1.15.7": {
319
+ "APC": {
320
+ "english": {
321
+ "id": "https://drive.google.com/file/d/1JIFhaAdoCeZI5CQqfOix3pnrYa6_Mf9S/view?usp=sharing",
322
+ "Training Model": "FAST-LSA-S",
323
+ "Training Dataset": "English",
324
+ "Language": "English",
325
+ "Description": "Trained on RTX3090",
326
+ "Available Version": "1.6.3+",
327
+ "Checkpoint File": "fast_lsa_s_acc_84.9_f1_82.11.zip",
328
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
329
+ },
330
+ "chinese": {
331
+ "id": "https://drive.google.com/file/d/1B0RHazOCm2eOWLWExQkeapHr9d3OiZl7/view?usp=sharing",
332
+ "Training Model": "FAST-LCF-MDeBERTa",
333
+ "Training Dataset": "Chinese",
334
+ "Language": "Chinese",
335
+ "Description": "Trained on RTX3090",
336
+ "Available Version": "1.8.2+",
337
+ "Checkpoint File": "fast_lcf_bert_Chinese_acc_97.11_f1_96.54.zip",
338
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
339
+ },
340
+ "multilingual": {
341
+ "id": "https://drive.google.com/file/d/15ls1hcGvk27UnfMsXZtk780h7tTBbNws/view?usp=sharing",
342
+ "Training Model": "FAST-LCF-Deberta",
343
+ "Training Dataset": "Multilingual",
344
+ "Language": "Multilingual",
345
+ "Description": "Trained on RTX3090",
346
+ "Available Version": "1.8.2+",
347
+ "Checkpoint File": "fast_lcf_bert_Multilingual_acc_94.72_f1_90.07.zip",
348
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
349
+ },
350
+ "multilingual2": {
351
+ "id": "https://drive.google.com/file/d/1YCYKpEnff-DBUHd-8vWmgsnng5ZT_2cs/view?usp=sharing",
352
+ "Training Model": "FAST-LCF-Deberta",
353
+ "Training Dataset": "Multilingual",
354
+ "Language": "Multilingual",
355
+ "Description": "Trained on RTX3090",
356
+ "Available Version": "1.10.5+",
357
+ "Checkpoint File": "fast_lsa_t_v2_Multilingual_acc_88.44_f1_82.66.zip",
358
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
359
+ },
360
+ "dlcf-dca-bert1": {
361
+ "id": "https://drive.google.com/file/d/1w-NtWujPglsvZu4-jC6Vmu8Iz8CvX-1u/view?usp=sharing",
362
+ "Training Model": "dlcf-dca-bert",
363
+ "Training Dataset": "Laptop 14",
364
+ "Language": "English",
365
+ "Description": "Trained on T4",
366
+ "Available Version": "1.1.17-1.1.23",
367
+ "Author": "M, Xu (xumayi@m.scnu.edu.cn)"
368
+ },
369
+ "dlcf-dca-bert2": {
370
+ "id": "https://drive.google.com/file/d/1w-NtWujPglsvZu4-jC6Vmu8Iz8CvX-1u/view?usp=sharing",
371
+ "Training Model": "dlcf-dca-bert",
372
+ "Training Dataset": "Restaurant 14",
373
+ "Language": "English",
374
+ "Description": "Trained on T4",
375
+ "Available Version": "1.1.17-1.1.23",
376
+ "Author": "M, Xu (xumayi@m.scnu.edu.cn)"
377
+ },
378
+ "HELP-WANTED": {
379
+ "id": "",
380
+ "Description": "You can help us by sharing checkpoints (e.g. models trained on you own datasets) with community.",
381
+ "Checkpoint File": "PLEASE NOTE THAT THIS IS NOT A REAL CHECKPOINT!",
382
+ "Available Version": ""
383
+ }
384
+ },
385
+ "ATEPC": {
386
+ "english": {
387
+ "id": "https://drive.google.com/file/d/1_oBCLi_bjs4CxmEXfVIw8qZCmbJvr-PE/view?usp=sharing",
388
+ "Training Model": "FAST-LCFS-ATEPC",
389
+ "Training Dataset": "English",
390
+ "Language": "English",
391
+ "Description": "Trained on RTX3090, this checkpoint use bert-spc in ATEPC training",
392
+ "Available Version": "1.8.4-1.15.7",
393
+ "Checkpoint File": "fast_lcf_atepc_English_cdw_apcacc_85.03_apcf1_82.76_atef1_84.8.zip",
394
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
395
+ },
396
+ "chinese": {
397
+ "id": "https://drive.google.com/file/d/1wHlEeKbQg51LEgr-J353HQhyPgPDEMrp/view?usp=sharing",
398
+ "Training Model": "FAST-LCF-ATEPC",
399
+ "Training Dataset": "Chinese",
400
+ "Language": "Chinese",
401
+ "Description": "Trained on RTX3090 BERT-BASE-CHINESE",
402
+ "Available Version": "1.8.4-1.15.7",
403
+ "Checkpoint File": "fast_lcf_atepc_Chinese_cdw_apcacc_96.0_apcf1_94.96_atef1_91.34.zip",
404
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
405
+ },
406
+ "multilingual": {
407
+ "id": "https://drive.google.com/file/d/17r-dMGCUBKnWSQ-djN3MegASuJ7WLAwl/view?usp=sharing",
408
+ "Training Model": "FAST-LCF-ATEPC",
409
+ "Training Dataset": "ABSADatasets.Multilingual",
410
+ "Language": "Multilingual",
411
+ "Description": "Trained on RTX3090",
412
+ "Available Version": "1.10.5-1.15.7",
413
+ "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_87.21_apcf1_81.53_atef1_82.82.zip",
414
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
415
+ },
416
+ "multilingual-1.14.7": {
417
+ "id": "https://drive.google.com/file/d/1gZRkcpSIqGfDacdTV4suqgRIfCbWgiHp/view?usp=sharing",
418
+ "Training Model": "FAST-LCF-ATEPC",
419
+ "Training Dataset": "ABSADatasets.Multilingual",
420
+ "Language": "Multilingual",
421
+ "Description": "Trained on RTX3090",
422
+ "Available Version": "1.10.5-1.15.7",
423
+ "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_87.21_apcf1_81.53_atef1_82.82.zip",
424
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
425
+ },
426
+ "multilingual4": {
427
+ "id": "https://drive.google.com/file/d/1MAnpTiCHyjUDazel2kgHgaKXaDeE0NYW/view?usp=sharing",
428
+ "Training Model": "FAST-LCF-ATEPC",
429
+ "Training Dataset": "ABSADatasets.Multilingual",
430
+ "Language": "Multilingual",
431
+ "Description": "Trained on RTX3090",
432
+ "Available Version": "1.10.5-1.15.7",
433
+ "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_88.96_apcf1_81.58_atef1_81.92.zip",
434
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
435
+ },
436
+ "HELP-WANTED": {
437
+ "id": "",
438
+ "Description": "You can help us by sharing checkpoints (e.g. models trained on you own datasets) with community.",
439
+ "Checkpoint File": "PLEASE NOTE THAT THIS IS NOT A REAL CHECKPOINT!",
440
+ "Available Version": ""
441
+ }
442
+ },
443
+ "TC": {
444
+ "tc-sst2": {
445
+ "id": "https://drive.google.com/file/d/1KgEB7MJ8bjrBiYdbtiojreeYegnUtq51/view?usp=sharing",
446
+ "Training Model": "TAD",
447
+ "Training Dataset": "SST2",
448
+ "Language": "English",
449
+ "Description": "Trained on RTX3090",
450
+ "Available Version": "1.15+",
451
+ "Checkpoint File": "TC-SST2.zip",
452
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
453
+ },
454
+ "tc-agnews10k": {
455
+ "id": "https://drive.google.com/file/d/1JiRL19maSBiu9_1VBpP1gMwN8qkZsAtC/view?usp=sharing",
456
+ "Training Model": "TAD",
457
+ "Training Dataset": "AGNews",
458
+ "Language": "English",
459
+ "Description": "Trained on RTX3090",
460
+ "Available Version": "1.15+",
461
+ "Checkpoint File": "TC-AGNews10K.zip",
462
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
463
+ },
464
+ "tc-imdb10k": {
465
+ "id": "https://drive.google.com/file/d/1TD0xyKKEfs_S0Ze0EmEb16Eq5pdukjN_/view?usp=sharing",
466
+ "Training Model": "TAD",
467
+ "Training Dataset": "IMDB10K",
468
+ "Language": "English",
469
+ "Description": "Trained on RTX3090",
470
+ "Available Version": "1.15+",
471
+ "Checkpoint File": "TC-IMDB10K.zip",
472
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
473
+ },
474
+ "HELP-WANTED": {
475
+ "id": "",
476
+ "Description": "You can help us by sharing checkpoints (e.g. models trained on you own datasets) with community.",
477
+ "Checkpoint File": "PLEASE NOTE THAT THIS IS NOT A REAL CHECKPOINT!",
478
+ "Available Version": ""
479
+ }
480
+ },
481
+ "TAD": {
482
+ "tad-sst2": {
483
+ "id": "",
484
+ "Training Model": "TAD",
485
+ "Training Dataset": "SST2",
486
+ "Language": "English",
487
+ "Description": "Trained on RTX3090",
488
+ "Available Version": "1.15+",
489
+ "Checkpoint File": "TAD-SST2.zip",
490
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
491
+ },
492
+ "tad-bert-sst2": {
493
+ "id": "",
494
+ "Training Model": "TAD",
495
+ "Training Dataset": "SST2",
496
+ "Language": "English",
497
+ "Description": "Trained on RTX3090",
498
+ "Available Version": "1.15+",
499
+ "Checkpoint File": "TAD-BERT-SST2.zip",
500
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
501
+ },
502
+ "tad-sst2bae": {
503
+ "id": "",
504
+ "Training Model": "TAD",
505
+ "Training Dataset": "SST2",
506
+ "Language": "English",
507
+ "Description": "Trained on RTX3090",
508
+ "Available Version": "1.15+",
509
+ "Checkpoint File": "TAD-SST2BAE.zip",
510
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
511
+ },
512
+ "tad-sst2pwws": {
513
+ "id": "",
514
+ "Training Model": "TAD",
515
+ "Training Dataset": "SST2",
516
+ "Language": "English",
517
+ "Description": "Trained on RTX3090",
518
+ "Available Version": "1.15+",
519
+ "Checkpoint File": "TAD-SST2PWWS.zip",
520
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
521
+ },
522
+ "tad-sst2textfooler": {
523
+ "id": "",
524
+ "Training Model": "TAD",
525
+ "Training Dataset": "SST2",
526
+ "Language": "English",
527
+ "Description": "Trained on RTX3090",
528
+ "Available Version": "1.15+",
529
+ "Checkpoint File": "TAD-SST2TextFooler.zip",
530
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
531
+ },
532
+ "tad-agnews10k": {
533
+ "id": "",
534
+ "Training Model": "TAD",
535
+ "Training Dataset": "AGNews",
536
+ "Language": "English",
537
+ "Description": "Trained on RTX3090",
538
+ "Available Version": "1.15+",
539
+ "Checkpoint File": "TAD-AGNews10K.zip",
540
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
541
+ },
542
+ "tad-bert-agnews10k": {
543
+ "id": "",
544
+ "Training Model": "TAD",
545
+ "Training Dataset": "AGNews",
546
+ "Language": "English",
547
+ "Description": "Trained on RTX3090",
548
+ "Available Version": "1.15+",
549
+ "Checkpoint File": "TAD-BERT-AGNews10K.zip",
550
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
551
+ },
552
+ "tad-agnews10kbae": {
553
+ "id": "",
554
+ "Training Model": "TAD",
555
+ "Training Dataset": "AGNews",
556
+ "Language": "English",
557
+ "Description": "Trained on RTX3090",
558
+ "Available Version": "1.15+",
559
+ "Checkpoint File": "TAD-AGNews10KBAE.zip",
560
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
561
+ },
562
+ "tad-agnews10kpwws": {
563
+ "id": "",
564
+ "Training Model": "TAD",
565
+ "Training Dataset": "AGNews",
566
+ "Language": "English",
567
+ "Description": "Trained on RTX3090",
568
+ "Available Version": "1.15+",
569
+ "Checkpoint File": "TAD-AGNews10KPWWS.zip",
570
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
571
+ },
572
+ "tad-agnews10ktextfooler": {
573
+ "id": "",
574
+ "Training Model": "TAD",
575
+ "Training Dataset": "AGNews",
576
+ "Language": "English",
577
+ "Description": "Trained on RTX3090",
578
+ "Available Version": "1.15+",
579
+ "Checkpoint File": "TAD-AGNews10KTextFooler.zip",
580
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
581
+ },
582
+ "tad-amazon": {
583
+ "id": "",
584
+ "Training Model": "TAD",
585
+ "Training Dataset": "AGNews",
586
+ "Language": "English",
587
+ "Description": "Trained on RTX3090",
588
+ "Available Version": "1.15+",
589
+ "Checkpoint File": "TAD-Amazon.zip",
590
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
591
+ },
592
+ "tad-bert-amazon": {
593
+ "id": "",
594
+ "Training Model": "TAD",
595
+ "Training Dataset": "AGNews",
596
+ "Language": "English",
597
+ "Description": "Trained on RTX3090",
598
+ "Available Version": "1.15+",
599
+ "Checkpoint File": "TAD-Amazon-BERT.zip",
600
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
601
+ },
602
+ "tad-amazonbae": {
603
+ "id": "",
604
+ "Training Model": "TAD",
605
+ "Training Dataset": "AGNews",
606
+ "Language": "English",
607
+ "Description": "Trained on RTX3090",
608
+ "Available Version": "1.15+",
609
+ "Checkpoint File": "TAD-AmazonBAE.zip",
610
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
611
+ },
612
+ "tad-amazonpwws": {
613
+ "id": "",
614
+ "Training Model": "TAD",
615
+ "Training Dataset": "AGNews",
616
+ "Language": "English",
617
+ "Description": "Trained on RTX3090",
618
+ "Available Version": "1.15+",
619
+ "Checkpoint File": "TAD-AmazonPWWS.zip",
620
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
621
+ },
622
+ "tad-amazontextfooler": {
623
+ "id": "",
624
+ "Training Model": "TAD",
625
+ "Training Dataset": "AGNews",
626
+ "Language": "English",
627
+ "Description": "Trained on RTX3090",
628
+ "Available Version": "1.15+",
629
+ "Checkpoint File": "TAD-AmazonTextFooler.zip",
630
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
631
+ }
632
+ }
633
+ }
634
+ }
checkpoint-v1.2.json ADDED
@@ -0,0 +1,266 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "APC": {
3
+ "english": {
4
+ "id": "https://drive.google.com/file/d/1JIFhaAdoCeZI5CQqfOix3pnrYa6_Mf9S/view?usp=sharing",
5
+ "Training Model": "FAST-LSA-S",
6
+ "Training Dataset": "English",
7
+ "Language": "English",
8
+ "Description": "Trained on RTX3090",
9
+ "Available Version": "1.6.3+",
10
+ "Checkpoint File": "fast_lsa_s_acc_84.9_f1_82.11.zip",
11
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
12
+ },
13
+ "chinese": {
14
+ "id": "https://drive.google.com/file/d/1B0RHazOCm2eOWLWExQkeapHr9d3OiZl7/view?usp=sharing",
15
+ "Training Model": "FAST-LCF-MDeBERTa",
16
+ "Training Dataset": "Chinese",
17
+ "Language": "Chinese",
18
+ "Description": "Trained on RTX3090",
19
+ "Available Version": "1.8.2+",
20
+ "Checkpoint File": "fast_lcf_bert_Chinese_acc_97.11_f1_96.54.zip",
21
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
22
+ },
23
+ "multilingual": {
24
+ "id": "https://drive.google.com/file/d/15ls1hcGvk27UnfMsXZtk780h7tTBbNws/view?usp=sharing",
25
+ "Training Model": "FAST-LCF-Deberta",
26
+ "Training Dataset": "Multilingual",
27
+ "Language": "Multilingual",
28
+ "Description": "Trained on RTX3090",
29
+ "Available Version": "1.8.2+",
30
+ "Checkpoint File": "fast_lcf_bert_Multilingual_acc_94.72_f1_90.07.zip",
31
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
32
+ },
33
+ "multilingual2": {
34
+ "id": "https://drive.google.com/file/d/1YCYKpEnff-DBUHd-8vWmgsnng5ZT_2cs/view?usp=sharing",
35
+ "Training Model": "FAST-LCF-Deberta",
36
+ "Training Dataset": "Multilingual",
37
+ "Language": "Multilingual",
38
+ "Description": "Trained on RTX3090",
39
+ "Available Version": "1.10.5+",
40
+ "Checkpoint File": "fast_lsa_t_v2_Multilingual_acc_88.44_f1_82.66.zip",
41
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
42
+ },
43
+ "dlcf-dca-bert1": {
44
+ "id": "https://drive.google.com/file/d/1w-NtWujPglsvZu4-jC6Vmu8Iz8CvX-1u/view?usp=sharing",
45
+ "Training Model": "dlcf-dca-bert",
46
+ "Training Dataset": "Laptop 14",
47
+ "Language": "English",
48
+ "Description": "Trained on T4",
49
+ "Available Version": "1.1.17-1.1.23",
50
+ "Author": "M, Xu (xumayi@m.scnu.edu.cn)"
51
+ },
52
+ "dlcf-dca-bert2": {
53
+ "id": "https://drive.google.com/file/d/1w-NtWujPglsvZu4-jC6Vmu8Iz8CvX-1u/view?usp=sharing",
54
+ "Training Model": "dlcf-dca-bert",
55
+ "Training Dataset": "Restaurant 14",
56
+ "Language": "English",
57
+ "Description": "Trained on T4",
58
+ "Available Version": "1.1.17-1.1.23",
59
+ "Author": "M, Xu (xumayi@m.scnu.edu.cn)"
60
+ },
61
+ "HELP-WANTED": {
62
+ "id": "",
63
+ "Description": "You can help us by sharing checkpoints (e.g. models trained on you own datasets) with community.",
64
+ "Checkpoint File": "PLEASE NOTE THAT THIS IS NOT A REAL CHECKPOINT!",
65
+ "Available Version": ""
66
+ }
67
+ },
68
+ "ATEPC": {
69
+ "english": {
70
+ "id": "https://drive.google.com/file/d/1_oBCLi_bjs4CxmEXfVIw8qZCmbJvr-PE/view?usp=sharing",
71
+ "Training Model": "FAST-LCFS-ATEPC",
72
+ "Training Dataset": "English",
73
+ "Language": "English",
74
+ "Description": "Trained on RTX3090, this checkpoint use bert-spc in ATEPC training",
75
+ "Available Version": "1.8.4-1.15.7",
76
+ "Checkpoint File": "fast_lcf_atepc_English_cdw_apcacc_85.03_apcf1_82.76_atef1_84.8.zip",
77
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
78
+ },
79
+ "chinese": {
80
+ "id": "https://drive.google.com/file/d/1wHlEeKbQg51LEgr-J353HQhyPgPDEMrp/view?usp=sharing",
81
+ "Training Model": "FAST-LCF-ATEPC",
82
+ "Training Dataset": "Chinese",
83
+ "Language": "Chinese",
84
+ "Description": "Trained on RTX3090 BERT-BASE-CHINESE",
85
+ "Available Version": "1.8.4-1.15.7",
86
+ "Checkpoint File": "fast_lcf_atepc_Chinese_cdw_apcacc_96.0_apcf1_94.96_atef1_91.34.zip",
87
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
88
+ },
89
+ "multilingual": {
90
+ "id": "https://drive.google.com/file/d/17r-dMGCUBKnWSQ-djN3MegASuJ7WLAwl/view?usp=sharing",
91
+ "Training Model": "FAST-LCF-ATEPC",
92
+ "Training Dataset": "ABSADatasets.Multilingual",
93
+ "Language": "Multilingual",
94
+ "Description": "Trained on RTX3090",
95
+ "Available Version": "1.10.5-1.15.7",
96
+ "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_87.21_apcf1_81.53_atef1_82.82.zip",
97
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
98
+ },
99
+ "multilingual-1.14.7": {
100
+ "id": "https://drive.google.com/file/d/1gZRkcpSIqGfDacdTV4suqgRIfCbWgiHp/view?usp=sharing",
101
+ "Training Model": "FAST-LCF-ATEPC",
102
+ "Training Dataset": "ABSADatasets.Multilingual",
103
+ "Language": "Multilingual",
104
+ "Description": "Trained on RTX3090",
105
+ "Available Version": "1.10.5-1.15.7",
106
+ "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_87.21_apcf1_81.53_atef1_82.82.zip",
107
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
108
+ },
109
+ "multilingual4": {
110
+ "id": "https://drive.google.com/file/d/1MAnpTiCHyjUDazel2kgHgaKXaDeE0NYW/view?usp=sharing",
111
+ "Training Model": "FAST-LCF-ATEPC",
112
+ "Training Dataset": "ABSADatasets.Multilingual",
113
+ "Language": "Multilingual",
114
+ "Description": "Trained on RTX3090",
115
+ "Available Version": "1.10.5-1.15.7",
116
+ "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_88.96_apcf1_81.58_atef1_81.92.zip",
117
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
118
+ },
119
+ "HELP-WANTED": {
120
+ "id": "",
121
+ "Description": "You can help us by sharing checkpoints (e.g. models trained on you own datasets) with community.",
122
+ "Checkpoint File": "PLEASE NOTE THAT THIS IS NOT A REAL CHECKPOINT!",
123
+ "Available Version": ""
124
+ }
125
+ },
126
+ "TC": {
127
+ "tc-sst2": {
128
+ "id": "https://drive.google.com/file/d/1KgEB7MJ8bjrBiYdbtiojreeYegnUtq51/view?usp=sharing",
129
+ "Training Model": "TAD",
130
+ "Training Dataset": "SST2",
131
+ "Language": "English",
132
+ "Description": "Trained on RTX3090",
133
+ "Available Version": "1.15+",
134
+ "Checkpoint File": "TC-SST2.zip",
135
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
136
+ },
137
+ "tc-agnews10k": {
138
+ "id": "https://drive.google.com/file/d/1JiRL19maSBiu9_1VBpP1gMwN8qkZsAtC/view?usp=sharing",
139
+ "Training Model": "TAD",
140
+ "Training Dataset": "AGNews",
141
+ "Language": "English",
142
+ "Description": "Trained on RTX3090",
143
+ "Available Version": "1.15+",
144
+ "Checkpoint File": "TC-AGNews10K.zip",
145
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
146
+ },
147
+ "tc-imdb10k": {
148
+ "id": "https://drive.google.com/file/d/1TD0xyKKEfs_S0Ze0EmEb16Eq5pdukjN_/view?usp=sharing",
149
+ "Training Model": "TAD",
150
+ "Training Dataset": "IMDB10K",
151
+ "Language": "English",
152
+ "Description": "Trained on RTX3090",
153
+ "Available Version": "1.15+",
154
+ "Checkpoint File": "TC-IMDB10K.zip",
155
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
156
+ },
157
+ "HELP-WANTED": {
158
+ "id": "",
159
+ "Description": "You can help us by sharing checkpoints (e.g. models trained on you own datasets) with community.",
160
+ "Checkpoint File": "PLEASE NOTE THAT THIS IS NOT A REAL CHECKPOINT!",
161
+ "Available Version": ""
162
+ }
163
+ },
164
+ "TAD": {
165
+ "tad-sst2bae": {
166
+ "id": "",
167
+ "Training Model": "TAD",
168
+ "Training Dataset": "SST2",
169
+ "Language": "English",
170
+ "Description": "Trained on RTX3090",
171
+ "Available Version": "1.15+",
172
+ "Checkpoint File": "TAD-SST2BAE.zip",
173
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
174
+ },
175
+ "tad-sst2pwws": {
176
+ "id": "",
177
+ "Training Model": "TAD",
178
+ "Training Dataset": "SST2",
179
+ "Language": "English",
180
+ "Description": "Trained on RTX3090",
181
+ "Available Version": "1.15+",
182
+ "Checkpoint File": "TAD-SST2PWWS.zip",
183
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
184
+ },
185
+ "tad-sst2textfooler": {
186
+ "id": "",
187
+ "Training Model": "TAD",
188
+ "Training Dataset": "SST2",
189
+ "Language": "English",
190
+ "Description": "Trained on RTX3090",
191
+ "Available Version": "1.15+",
192
+ "Checkpoint File": "TAD-SST2TextFooler.zip",
193
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
194
+ },
195
+ "tad-agnews10kbae": {
196
+ "id": "",
197
+ "Training Model": "TAD",
198
+ "Training Dataset": "AGNews",
199
+ "Language": "English",
200
+ "Description": "Trained on RTX3090",
201
+ "Available Version": "1.15+",
202
+ "Checkpoint File": "TAD-AGNews10KBAE.zip",
203
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
204
+ },
205
+ "tad-agnews10kpwws": {
206
+ "id": "",
207
+ "Training Model": "TAD",
208
+ "Training Dataset": "AGNews",
209
+ "Language": "English",
210
+ "Description": "Trained on RTX3090",
211
+ "Available Version": "1.15+",
212
+ "Checkpoint File": "TAD-AGNews10KPWWS.zip",
213
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
214
+ },
215
+ "tad-agnews10ktextfooler": {
216
+ "id": "",
217
+ "Training Model": "TAD",
218
+ "Training Dataset": "AGNews",
219
+ "Language": "English",
220
+ "Description": "Trained on RTX3090",
221
+ "Available Version": "1.15+",
222
+ "Checkpoint File": "TAD-AGNews10KTextFooler.zip",
223
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
224
+ },
225
+ "tad-sst2": {
226
+ "id": "",
227
+ "Training Model": "TAD",
228
+ "Training Dataset": "SST2",
229
+ "Language": "English",
230
+ "Description": "Trained on RTX3090",
231
+ "Available Version": "1.15+",
232
+ "Checkpoint File": "TAD-SST2.zip",
233
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
234
+ },
235
+ "tad-agnews10k": {
236
+ "id": "",
237
+ "Training Model": "TAD",
238
+ "Training Dataset": "AGNews",
239
+ "Language": "English",
240
+ "Description": "Trained on RTX3090",
241
+ "Available Version": "1.15+",
242
+ "Checkpoint File": "TAD-AGNews10K.zip",
243
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
244
+ },
245
+ "tad-bert-sst2": {
246
+ "id": "",
247
+ "Training Model": "TAD",
248
+ "Training Dataset": "SST2",
249
+ "Language": "English",
250
+ "Description": "Trained on RTX3090",
251
+ "Available Version": "1.15+",
252
+ "Checkpoint File": "TAD-SST2.zip",
253
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
254
+ },
255
+ "tad-bert-agnews10k": {
256
+ "id": "",
257
+ "Training Model": "TAD",
258
+ "Training Dataset": "AGNews",
259
+ "Language": "English",
260
+ "Description": "Trained on RTX3090",
261
+ "Available Version": "1.15+",
262
+ "Checkpoint File": "TAD-AGNews10K.zip",
263
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
264
+ }
265
+ }
266
+ }
checkpoint/Chinese/APC/fast_lcf_bert_Chinese_acc_97.11_f1_96.54.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f55b96e0c47df66d2389e4ad78262f9f56e6258834ebcd788e6a429a4a38a622
3
+ size 399558918
checkpoint/Chinese/ATEPC/fast_lcf_atepc_Chinese_cdw_apcacc_96.09_apcf1_95.14_atef1_83.69.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e66dc4cd4e9512cdaeb4b514fa90a81ddb62196f10483495692952e4cf060bc
3
+ size 406037895
checkpoint/Chinese/ATEPC/fast_lcf_atepc_Chinese_cdw_apcacc_96.0_apcf1_94.96_atef1_91.34.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9a0fd9e046facfae29744788e8d44b09537a01d2c26008bc81a3d0c1a7a137b0
3
+ size 405999745
checkpoint/English/APC/fast_lsa_s_acc_84.9_f1_82.11.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ea3cbab4885fb4c2b6880a0419873ca4b855df3e119f33d68a65400883f09e7d
3
+ size 664593403
checkpoint/English/APC/fast_lsa_t_English_acc_84.23_f1_83.65.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:32521d42e37345d4bc29f79e3f8aab0dcbb2022350ebd7c08629635bbb45f079
3
+ size 653802351
checkpoint/English/APC/fast_lsa_t_acc_84.84_f1_82.36.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9bbd07ffb6aa131e7db953ccee83326514d307048950f3961eb5c115566c0f01
3
+ size 666055855
checkpoint/English/APC/fast_lsa_t_v2_Multilingual_acc_88.44_f1_82.66.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2881d1d9eebcdc224fb58fea245fa8937d1f01a2cd9ed2905240a117863a7b83
3
+ size 877276596
checkpoint/English/ATEPC/fast_lcf_atepc_English_cdw_apcacc_80.16_apcf1_78.34_atef1_75.39.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7d937276d7c06fa788ab364c97e5125d3f0660f4f2623fdd5f68c06eaa0c0c8e
3
+ size 595885755
checkpoint/English/ATEPC/fast_lcf_atepc_English_cdw_apcacc_82.93_apcf1_80.7_atef1_78.77.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:187e169bf592ec7556d0ec2ac8175c7dffeed2da01a07c2bf1ac540736d0cf36
3
+ size 649205651
checkpoint/English/ATEPC/fast_lcf_atepc_English_cdw_apcacc_85.03_apcf1_82.76_atef1_84.8.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f6014cfa9c9e495e4bc215d4be7c1864dff66209e65de9379fbc4c01ad4affd3
3
+ size 596533687
checkpoint/English/ATEPC/fast_lcf_atepc_English_cdw_apcacc_85.4_apcf1_82.53_atef1_80.19.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5000195a6e2826b8f8de150420589c028b2cbaf168dd5488e904dae3c12a5b3
3
+ size 604108499
checkpoint/English/TAD/TAD-AGNews10K.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24efa3b131c1e3e789ccf431c94558ff3667ec8819f3126026788b802a30524e
3
+ size 614884199
checkpoint/English/TAD/TAD-AGNews10KBAE.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c62db94d5327e50cea677a66ec71f51ebc6ea93ab3f3d9acca10112bc6ec3f44
3
+ size 603107189
checkpoint/English/TAD/TAD-AGNews10KPWWS.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8622c543eb60a5555c0c9d4721afd70434d28852f59d5f8fce6c8b84ccb0585c
3
+ size 605409984
checkpoint/English/TAD/TAD-AGNews10KTextFooler.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:930369f4ac078036fec9e25756e7917dd57bb210a439f9be114f7dd39e25ca6a
3
+ size 612497328
checkpoint/English/TAD/TAD-Amazon.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:add4188835c415b72dda8f8db363bb82d6217b35f6b27a1dd9d82b029594607f
3
+ size 427626189
checkpoint/English/TAD/TAD-AmazonBAE.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4d11d8b01f3a5275906ab136739535adb423f34da0d99ff86d5e6a96a7035333
3
+ size 618481827
checkpoint/English/TAD/TAD-AmazonPWWS.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e46273c6c696b230e9e344db28322bb692919c6de114cea8ced8de45ee713b86
3
+ size 427631136
checkpoint/English/TAD/TAD-AmazonTextFooler.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3a4115d2d190f02cfd2cda0830ab013f011263d5b88129a0d997876f29ce6aa7
3
+ size 628172415
checkpoint/English/TAD/TAD-BERT-AGNews10K.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:804e08466a59933aead6eb8bda55f4f65c18591433fb412f093b2202e97f9fae
3
+ size 427640822
checkpoint/English/TAD/TAD-BERT-AGNews10KBAE.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7970bd43dd824a7f6e31b3045a3ebd09dba53381d6976e4d0042f26ef2ee654e
3
+ size 427641225
checkpoint/English/TAD/TAD-BERT-AGNews10KPWWS.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:51c18358d77b31137c2ca6af502dddc488b9f6649f89f037ebe659d284e07e9a
3
+ size 427639207
checkpoint/English/TAD/TAD-BERT-AGNews10KTextFooler.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e70f5c82eded5ded93d85718c699d12582d3f25fec73595a25483f0bdef03f2e
3
+ size 427643843
checkpoint/English/TAD/TAD-BERT-Amazon.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:383bf63ad88b690c894c4bbc29a8e9c0ac6175cea5e88bff1db197f06b8509c8
3
+ size 427631665
checkpoint/English/TAD/TAD-BERT-AmazonBAE.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d700f72bc54f6931e83750d5d6850a77baf385effcb3b71b615b3009b3fd719a
3
+ size 427631668
checkpoint/English/TAD/TAD-BERT-AmazonPWWS.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:987a05b58a54ea533974be1fe943e7f069ec816eed23a4d57752950e705d7c63
3
+ size 427631162
checkpoint/English/TAD/TAD-BERT-AmazonTextFooler.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eb8df1636dfa782a18ce09a7f4ececbcab83bbe68ae01f75bf0bed2e3b63d6ea
3
+ size 427630967
checkpoint/English/TAD/TAD-BERT-SST2.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ebd30134e8e01b8f9df633816d14595fbb96002107cd43e917ab2a5ba8149c35
3
+ size 427626148
checkpoint/English/TAD/TAD-BERT-SST2BAE.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c756d44664af1938cd587162b945cc5d34747ffa0410f82746725f4bf7213f35
3
+ size 427629711
checkpoint/English/TAD/TAD-BERT-SST2PWWS.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ca1dd916238bffb0c1d6484569e4ad10dd6936e8c42e30eef3c9f07bfee6db94
3
+ size 427631719
checkpoint/English/TAD/TAD-BERT-SST2TextFooler.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8eb88406248682c70eee07ea7f4426a12428e5fc8aeee5bc7e86c08466b7c2ff
3
+ size 427632398
checkpoint/English/TAD/TAD-SST2.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2107f3b21f3c137efb4b240028e3c23530f64428cfac0fd877c44fa66445c944
3
+ size 595588413
checkpoint/English/TAD/TAD-SST2BAE.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a39c9158a9e3c855a51d56c42a97c3ef7f08ffca7f1af7d32f314f6406617fd9
3
+ size 588778569
checkpoint/English/TAD/TAD-SST2PWWS.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:71baa36af033864eca933ec3f4e4b74c9a40dccd0c8d06ea65c1de1c99b2b510
3
+ size 590348731
checkpoint/English/TAD/TAD-SST2TextFooler.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1001e31a46e7839a6c0b9a32e497c55f02c1238bee206cfb5a53d699f91081a1
3
+ size 593777611
checkpoint/English/TC/TC-AGNews10K.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d0eaca918f1dfc9787bdaef49fe8aa55bb8cb7c8f499d751ab04454759c28a44
3
+ size 590855105
checkpoint/English/TC/TC-IMDB10K.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d49c607eb53c0d59fe3fe204023212f6ff1c08f36b07759b2fc94c9c3821ea5b
3
+ size 588174151
checkpoint/English/TC/TC-SST2.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3f52f68447d2a239ad7523588c59e48c1bf9b675045444f03e9bfbbcc931e02d
3
+ size 572679369
checkpoint/Multilingual/APC/fast_lcf_bert_Multilingual_acc_94.72_f1_90.07.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e4ba570a8c2e5201b8eb94720a9e3d446887e9f5e12ec040d8048b79441fb14
3
+ size 899414090
checkpoint/Multilingual/ATEPC/fast_lcf_atepc_Multilingual_cdw_apcacc_86.68_apcf1_80.63_atef1_75.15.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c9f1475d7b5bcd021f1799b6cee3a64cc6f44b053ecc087c13891efe900f36e3
3
+ size 852661629
checkpoint/Multilingual/ATEPC/fast_lcf_atepc_Multilingual_cdw_apcacc_86.76_apcf1_79.78_atef1_78.03.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e0ae7c31e0ee25f1f2e1586de06a87aba63a82c29c00407cff8524c34eab8e3
3
+ size 851970662
checkpoint/Multilingual/ATEPC/fast_lcf_atepc_Multilingual_cdw_apcacc_87.09_apcf1_79.95_atef1_75.55.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3ca6e62238b1ba8f1eaecc67c35960006ca0425bff1de5fb620873b3f1fd5153
3
+ size 852762924
checkpoint/Multilingual/ATEPC/fast_lcf_atepc_Multilingual_cdw_apcacc_87.21_apcf1_81.53_atef1_82.82.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dddd83c1812962c3f1f9442a6f069c9de4a3513d292f366bd177ccc23a298151
3
+ size 848386687
checkpoint/Multilingual/ATEPC/fast_lcf_atepc_Multilingual_cdw_apcacc_87.4_apcf1_81.27_atef1_82.97.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:03fc26fe05b9d3f9e47241835f322db06f3e5cd50bab0ef6a043d424be9f5923
3
+ size 844894992
checkpoint/Multilingual/ATEPC/fast_lcf_atepc_Multilingual_cdw_apcacc_88.96_apcf1_81.58_atef1_81.92.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:410a6bc0f91214b90b87a0453970ccb19de2b3d1b12e13cdeb02c12d4dd11094
3
+ size 841220085
checkpoints.json ADDED
@@ -0,0 +1 @@
 
1
+ {"APC": {"english": {"id": "https://drive.google.com/file/d/1JIFhaAdoCeZI5CQqfOix3pnrYa6_Mf9S/view?usp=sharing", "Training Model": "FAST-LSA-S", "Training Dataset": "English", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.6.3+", "Checkpoint File": "fast_lsa_s_acc_84.9_f1_82.11.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "chinese": {"id": "https://drive.google.com/file/d/1B0RHazOCm2eOWLWExQkeapHr9d3OiZl7/view?usp=sharing", "Training Model": "FAST-LCF-MDeBERTa", "Training Dataset": "Chinese", "Language": "Chinese", "Description": "Trained on RTX3090", "Available Version": "1.8.2+", "Checkpoint File": "fast_lcf_bert_Chinese_acc_97.11_f1_96.54.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "multilingual": {"id": "https://drive.google.com/file/d/15ls1hcGvk27UnfMsXZtk780h7tTBbNws/view?usp=sharing", "Training Model": "FAST-LCF-Deberta", "Training Dataset": "Multilingual", "Language": "Multilingual", "Description": "Trained on RTX3090", "Available Version": "1.8.2+", "Checkpoint File": "fast_lcf_bert_Multilingual_acc_94.72_f1_90.07.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "multilingual2": {"id": "https://drive.google.com/file/d/1YCYKpEnff-DBUHd-8vWmgsnng5ZT_2cs/view?usp=sharing", "Training Model": "FAST-LCF-Deberta", "Training Dataset": "Multilingual", "Language": "Multilingual", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lsa_t_v2_Multilingual_acc_88.44_f1_82.66.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "dlcf-dca-bert1": {"id": "https://drive.google.com/file/d/1w-NtWujPglsvZu4-jC6Vmu8Iz8CvX-1u/view?usp=sharing", "Training Model": "dlcf-dca-bert", "Training Dataset": "Laptop 14", "Language": "English", "Description": "Trained on T4", "Available Version": "1.1.17-1.1.23", "Author": "M, Xu (xumayi@m.scnu.edu.cn)"}, "dlcf-dca-bert2": {"id": "https://drive.google.com/file/d/1w-NtWujPglsvZu4-jC6Vmu8Iz8CvX-1u/view?usp=sharing", "Training Model": "dlcf-dca-bert", "Training Dataset": "Restaurant 14", "Language": "English", "Description": "Trained on T4", "Available Version": "1.1.17-1.1.23", "Author": "M, Xu (xumayi@m.scnu.edu.cn)"}, "HELP-WANTED": {"id": "", "Description": "You can help us by sharing checkpoints (e.g. models trained on you own datasets) with community.", "Checkpoint File": "PLEASE NOTE THAT THIS IS NOT A REAL CHECKPOINT!", "Available Version": ""}}, "ATEPC": {"english": {"id": "https://drive.google.com/file/d/1_oBCLi_bjs4CxmEXfVIw8qZCmbJvr-PE/view?usp=sharing", "Training Model": "FAST-LCFS-ATEPC", "Training Dataset": "English", "Language": "English", "Description": "Trained on RTX3090, this checkpoint use bert-spc in ATEPC training", "Available Version": "1.8.4+", "Checkpoint File": "fast_lcf_atepc_English_cdw_apcacc_85.03_apcf1_82.76_atef1_84.8.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "chinese": {"id": "https://drive.google.com/file/d/1wHlEeKbQg51LEgr-J353HQhyPgPDEMrp/view?usp=sharing", "Training Model": "FAST-LCF-ATEPC", "Training Dataset": "Chinese", "Language": "Chinese", "Description": "Trained on RTX3090 BERT-BASE-CHINESE", "Available Version": "1.8.4+", "Checkpoint File": "fast_lcf_atepc_Chinese_cdw_apcacc_96.0_apcf1_94.96_atef1_91.34.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "multilingual": {"id": "https://drive.google.com/file/d/17r-dMGCUBKnWSQ-djN3MegASuJ7WLAwl/view?usp=sharing", "Training Model": "FAST-LCF-ATEPC", "Training Dataset": "ABSADatasets.Multilingual", "Language": "Multilingual", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_87.21_apcf1_81.53_atef1_82.82.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "multilingual-1.14.7": {"id": "https://drive.google.com/file/d/1gZRkcpSIqGfDacdTV4suqgRIfCbWgiHp/view?usp=sharing", "Training Model": "FAST-LCF-ATEPC", "Training Dataset": "ABSADatasets.Multilingual", "Language": "Multilingual", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_87.21_apcf1_81.53_atef1_82.82.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "multilingual4": {"id": "https://drive.google.com/file/d/1MAnpTiCHyjUDazel2kgHgaKXaDeE0NYW/view?usp=sharing", "Training Model": "FAST-LCF-ATEPC", "Training Dataset": "ABSADatasets.Multilingual", "Language": "Multilingual", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_88.96_apcf1_81.58_atef1_81.92.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "HELP-WANTED": {"id": "", "Description": "You can help us by sharing checkpoints (e.g. models trained on you own datasets) with community.", "Checkpoint File": "PLEASE NOTE THAT THIS IS NOT A REAL CHECKPOINT!", "Available Version": ""}}, "TC": {"tc-sst2": {"id": "https://drive.google.com/file/d/1KgEB7MJ8bjrBiYdbtiojreeYegnUtq51/view?usp=sharing", "Training Model": "TAD", "Training Dataset": "SST2", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.15+", "Checkpoint File": "TC-SST2.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "tc-agnews10k": {"id": "https://drive.google.com/file/d/1JiRL19maSBiu9_1VBpP1gMwN8qkZsAtC/view?usp=sharing", "Training Model": "TAD", "Training Dataset": "AGNews", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.15+", "Checkpoint File": "TC-AGNews10K.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "tc-imdb10k": {"id": "https://drive.google.com/file/d/1TD0xyKKEfs_S0Ze0EmEb16Eq5pdukjN_/view?usp=sharing", "Training Model": "TAD", "Training Dataset": "IMDB10K", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.15+", "Checkpoint File": "TC-IMDB10K.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "HELP-WANTED": {"id": "", "Description": "You can help us by sharing checkpoints (e.g. models trained on you own datasets) with community.", "Checkpoint File": "PLEASE NOTE THAT THIS IS NOT A REAL CHECKPOINT!", "Available Version": ""}}, "TAD": {"tad-sst2bae": {"id": "", "Training Model": "TAD", "Training Dataset": "SST2", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.15+", "Checkpoint File": "TAD-SST2BAE.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "tad-sst2pwws": {"id": "", "Training Model": "TAD", "Training Dataset": "SST2", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.15+", "Checkpoint File": "TAD-SST2PWWS.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "tad-sst2textfooler": {"id": "", "Training Model": "TAD", "Training Dataset": "SST2", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.15+", "Checkpoint File": "TAD-SST2TextFooler.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "tad-agnews10kbae": {"id": "", "Training Model": "TAD", "Training Dataset": "AGNews", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.15+", "Checkpoint File": "TAD-AGNews10KBAE.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "tad-agnews10kpwws": {"id": "", "Training Model": "TAD", "Training Dataset": "AGNews", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.15+", "Checkpoint File": "TAD-AGNews10KPWWS.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "tad-agnews10ktextfooler": {"id": "", "Training Model": "TAD", "Training Dataset": "AGNews", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.15+", "Checkpoint File": "TAD-AGNews10KTextFooler.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "tad-sst2": {"id": "", "Training Model": "TAD", "Training Dataset": "SST2", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.15+", "Checkpoint File": "TAD-SST2.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "tad-agnews10k": {"id": "", "Training Model": "TAD", "Training Dataset": "AGNews", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.15+", "Checkpoint File": "TAD-AGNews10K.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "tad-bert-sst2": {"id": "", "Training Model": "TAD", "Training Dataset": "SST2", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.15+", "Checkpoint File": "TAD-SST2.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "tad-bert-agnews10k": {"id": "", "Training Model": "TAD", "Training Dataset": "AGNews", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.15+", "Checkpoint File": "TAD-AGNews10K.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}}}