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update

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Files changed (6) hide show
  1. app.py +1 -1
  2. checkpoints-v2.0.json +122 -1
  3. checkpoints/English/TAD/TAD-AGNews10K.zip +3 -0
  4. checkpoints/English/TAD/TAD-Amazon.zip +3 -0
  5. checkpoints/English/TAD/TAD-SST2.zip +3 -0
  6. emergency_notification.txt +2 -2
app.py CHANGED
@@ -82,4 +82,4 @@ with demo:
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  inputs=[input_sentence, dataset_ids],
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  outputs=[output_df, output_text])
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- demo.launch(share=True)
 
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  inputs=[input_sentence, dataset_ids],
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  outputs=[output_df, output_text])
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+ demo.launch()
checkpoints-v2.0.json CHANGED
@@ -1 +1,122 @@
1
- {"2.0.0.dev0+": {"APC": {"multilingual": {"id": "", "Training Model": "FAST-LSA-T-V2-Deberta", "Training Dataset": "APCDatasetList.Multilingual", "Language": "Multilingual", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lcf_bert_Multilingual_acc_82.66_f1_82.06.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}, "english": {"id": "", "Training Model": "FAST-LSA-T-V2-Deberta", "Training Dataset": "APCDatasetList.English", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lsa_t_v2_English_acc_82.21_f1_81.81.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}, "chinese": {"id": "", "Training Model": "FAST-LSA-T-V2-Deberta", "Training Dataset": "APCDatasetList.Chinese", "Language": "Chinese", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lsa_t_v2_Chinese_acc_96.0_f1_95.1.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}}, "ATEPC": {"multilingual": {"id": "", "Training Model": "FAST-LCF-ATEPC", "Training Dataset": "ABSADatasets.Multilingual", "Language": "Multilingual", "Description": "Trained on RTX3090", "Available Version": "1.16.0+", "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_78.08_apcf1_77.81_atef1_75.41.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}, "english": {"id": "", "Training Model": "FAST-LCF-ATEPC", "Training Dataset": "ATEPCDatasetList.English", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lcf_atepc_English_cdw_apcacc_82.36_apcf1_81.89_atef1_75.43.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}, "chinese": {"id": "", "Training Model": "FAST-LCF-ATEPC", "Training Dataset": "ATEPCDatasetList.Chinese", "Language": "Chinese", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lcf_atepc_Chinese_cdw_apcacc_96.22_apcf1_95.32_atef1_78.73.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}}, "RNAC": {"degrad_lstm": {"id": "", "Training Model": "LSTM", "Training Dataset": "ABSADatasets.Multilingual", "Language": "RNA", "Description": "Trained on RTX3090", "Available Version": "1.16.0+", "Checkpoint File": "lstm_degrad_acc_85.26_f1_84.62.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}, "degrad_bert": {"id": "", "Training Model": "MLP", "Training Dataset": "Degrad", "Language": "RNA", "Description": "Trained on RTX3090", "Available Version": "1.16.0+", "Checkpoint File": "bert_mlp_degrad_acc_87.44_f1_86.99.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}}}}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "2.0.0": {
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+ "APC": {
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+ "multilingual": {
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+ "id": "",
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+ "Training Model": "FAST-LSA-T-V2-Deberta",
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+ "Training Dataset": "APCDatasetList.Multilingual",
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+ "Language": "Multilingual",
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+ "Description": "Trained on RTX3090",
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+ "Available Version": "1.10.5+",
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+ "Checkpoint File": "fast_lcf_bert_Multilingual_acc_82.66_f1_82.06.zip",
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+ "Author": "H, Yang (hy345@exeter.ac.uk)"
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+ },
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+ "english": {
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+ "id": "",
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+ "Training Model": "FAST-LSA-T-V2-Deberta",
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+ "Training Dataset": "APCDatasetList.English",
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+ "Language": "English",
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+ "Description": "Trained on RTX3090",
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+ "Available Version": "1.10.5+",
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+ "Checkpoint File": "fast_lsa_t_v2_English_acc_82.21_f1_81.81.zip",
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+ "Author": "H, Yang (hy345@exeter.ac.uk)"
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+ },
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+ "chinese": {
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+ "id": "",
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+ "Training Model": "FAST-LSA-T-V2-Deberta",
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+ "Training Dataset": "APCDatasetList.Chinese",
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+ "Language": "Chinese",
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+ "Description": "Trained on RTX3090",
30
+ "Available Version": "1.10.5+",
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+ "Checkpoint File": "fast_lsa_t_v2_Chinese_acc_96.0_f1_95.1.zip",
32
+ "Author": "H, Yang (hy345@exeter.ac.uk)"
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+ }
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+ },
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+ "ATEPC": {
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+ "multilingual": {
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+ "id": "",
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+ "Training Model": "FAST-LCF-ATEPC",
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+ "Training Dataset": "ABSADatasets.Multilingual",
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+ "Language": "Multilingual",
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+ "Description": "Trained on RTX3090",
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+ "Available Version": "1.16.0+",
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+ "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_78.08_apcf1_77.81_atef1_75.41.zip",
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+ "Author": "H, Yang (hy345@exeter.ac.uk)"
45
+ },
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+ "english": {
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+ "id": "",
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+ "Training Model": "FAST-LCF-ATEPC",
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+ "Training Dataset": "ATEPCDatasetList.English",
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+ "Language": "English",
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+ "Description": "Trained on RTX3090",
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+ "Available Version": "1.10.5+",
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+ "Checkpoint File": "fast_lcf_atepc_English_cdw_apcacc_82.36_apcf1_81.89_atef1_75.43.zip",
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+ "Author": "H, Yang (hy345@exeter.ac.uk)"
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+ },
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+ "chinese": {
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+ "id": "",
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+ "Training Model": "FAST-LCF-ATEPC",
59
+ "Training Dataset": "ATEPCDatasetList.Chinese",
60
+ "Language": "Chinese",
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+ "Description": "Trained on RTX3090",
62
+ "Available Version": "1.10.5+",
63
+ "Checkpoint File": "fast_lcf_atepc_Chinese_cdw_apcacc_96.22_apcf1_95.32_atef1_78.73.zip",
64
+ "Author": "H, Yang (hy345@exeter.ac.uk)"
65
+ }
66
+ },
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+ "RNAC": {
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+ "degrad_lstm": {
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+ "id": "",
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+ "Training Model": "LSTM",
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+ "Training Dataset": "ABSADatasets.Multilingual",
72
+ "Language": "RNA",
73
+ "Description": "Trained on RTX3090",
74
+ "Available Version": "1.16.0+",
75
+ "Checkpoint File": "lstm_degrad_acc_85.26_f1_84.62.zip",
76
+ "Author": "H, Yang (hy345@exeter.ac.uk)"
77
+ },
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+ "degrad_bert": {
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+ "id": "",
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+ "Training Model": "MLP",
81
+ "Training Dataset": "Degrad",
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+ "Language": "RNA",
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+ "Description": "Trained on RTX3090",
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+ "Available Version": "1.16.0+",
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+ "Checkpoint File": "bert_mlp_degrad_acc_87.44_f1_86.99.zip",
86
+ "Author": "H, Yang (hy345@exeter.ac.uk)"
87
+ }
88
+ },
89
+ "TAD": {
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+ "tad-sst2": {
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+ "id": "",
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+ "Training Model": "TAD",
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+ "Training Dataset": "SST2",
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+ "Language": "English",
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+ "Description": "Trained on RTX3090",
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+ "Available Version": "1.15+",
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+ "Checkpoint File": "TAD-SST2.zip",
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+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
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+ },
100
+ "tad-agnews10k": {
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+ "id": "",
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+ "Training Model": "TAD",
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+ "Training Dataset": "AGNews",
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+ "Language": "English",
105
+ "Description": "Trained on RTX3090",
106
+ "Available Version": "1.15+",
107
+ "Checkpoint File": "TAD-AGNews10K.zip",
108
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
109
+ },
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+ "tad-amazon": {
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+ "id": "",
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+ "Training Model": "TAD",
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+ "Training Dataset": "AGNews",
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+ "Language": "English",
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+ "Description": "Trained on RTX3090",
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+ "Available Version": "1.15+",
117
+ "Checkpoint File": "TAD-Amazon.zip",
118
+ "Author": "H, Yang (yangheng@m.scnu.edu.cn)"
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+ }
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+ }
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+ }
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+ }
checkpoints/English/TAD/TAD-AGNews10K.zip ADDED
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+ size 624518698
checkpoints/English/TAD/TAD-Amazon.zip ADDED
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+ oid sha256:518db1ea287dfc7e0b978555f539ac6133728a2c56bf6d9ef91cc6048e1fd781
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+ size 628949079
checkpoints/English/TAD/TAD-SST2.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:340d167d6eaa5d923aa93eb6c76d8a71dac06101fd121bd895f0a1c94ea9eb5b
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+ size 601386462
emergency_notification.txt CHANGED
@@ -1,4 +1,4 @@
1
  PyABSA v2.x has been refactored; its APIs are now organized by NLP subtasks.
2
  Due to many breaking changes, it is not compatible with 1.x versions.
3
- If you need to use pretrained checkpoints, you can downgrade to 1.x versions.
4
- Please feel free to provide your advice to improve PyABSA
 
1
  PyABSA v2.x has been refactored; its APIs are now organized by NLP subtasks.
2
  Due to many breaking changes, it is not compatible with 1.x versions.
3
+ If you need to use pretrained checkpoints, you can use v2.0,
4
+ but if you need to use traning code for v1.x, you need to downgrade to v1.16.27(or eary versions)