Hugging Face's logo

CrisisNarratives
/
adapter-9classes-multi_label

Text2Text Generation
Transformers
PyTorch
English
t5
text-generation-inference
Inference Endpoints
Model card Files Community
Faeze commited on
Commit
2a67ee1
•
1 Parent(s): 555cda8

Upload folder using huggingface_hub

Browse files
Files changed (23) hide show
  1. all_results.json +34 -0
  2. config.json +137 -0
  3. eval_instances_normalized_attn_scores.pt +3 -0
  4. eval_results.json +12 -0
  5. performance_results.json +4 -0
  6. pytorch_model.bin +3 -0
  7. special_tokens_map.json +1 -0
  8. spiece.model +3 -0
  9. test-predictions-1723600809.csv +0 -0
  10. test-predictions-1723602128.csv +0 -0
  11. test-predictions-1723602513.csv +0 -0
  12. test-predictions-1723602515.csv +127 -0
  13. test-predictions-1723653031.csv +0 -0
  14. test-predictions-1723653759.csv +0 -0
  15. test-predictions-1723654568.csv +0 -0
  16. test-predictions-1723654570.csv +127 -0
  17. test_instances_normalized_attn_scores.pt +3 -0
  18. test_results.json +12 -0
  19. tokenizer.json +0 -0
  20. tokenizer_config.json +1 -0
  21. train_results.json +14 -0
  22. trainer_state.json +0 -0
  23. training_args.bin +3 -0
all_results.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 200.0,
3
+ "eval_accuracy": 73.80952380952381,
4
+ "eval_average_metrics": 74.6564932359258,
5
+ "eval_classification_report": "{\"0\": {\"precision\": 0.8571428571428571, \"recall\": 0.7692307692307693, \"f1-score\": 0.8108108108108107, \"support\": 39.0}, \"1\": {\"precision\": 0.5625, \"recall\": 0.5625, \"f1-score\": 0.5625, \"support\": 16.0}, \"2\": {\"precision\": 0.35294117647058826, \"recall\": 0.42857142857142855, \"f1-score\": 0.3870967741935484, \"support\": 14.0}, \"3\": {\"precision\": 0.7647058823529411, \"recall\": 0.8666666666666667, \"f1-score\": 0.8125, \"support\": 15.0}, \"4\": {\"precision\": 0.9090909090909091, \"recall\": 0.9090909090909091, \"f1-score\": 0.9090909090909091, \"support\": 11.0}, \"5\": {\"precision\": 0.8181818181818182, \"recall\": 0.75, \"f1-score\": 0.7826086956521738, \"support\": 12.0}, \"6\": {\"precision\": 0.8888888888888888, \"recall\": 0.8888888888888888, \"f1-score\": 0.8888888888888888, \"support\": 9.0}, \"7\": {\"precision\": 0.75, \"recall\": 0.75, \"f1-score\": 0.75, \"support\": 8.0}, \"8\": {\"precision\": 1.0, \"recall\": 1.0, \"f1-score\": 1.0, \"support\": 2.0}, \"micro avg\": {\"precision\": 0.7380952380952381, \"recall\": 0.7380952380952381, \"f1-score\": 0.7380952380952381, \"support\": 126.0}, \"macro avg\": {\"precision\": 0.7670501702364447, \"recall\": 0.7694387402720735, \"f1-score\": 0.7670551198484813, \"support\": 126.0}, \"weighted avg\": {\"precision\": 0.7512580789891715, \"recall\": 0.7380952380952381, \"f1-score\": 0.7430141333980744, \"support\": 126.0}, \"samples avg\": {\"precision\": 0.7380952380952381, \"recall\": 0.7380952380952381, \"f1-score\": 0.7380952380952381, \"support\": 126.0}}",
6
+ "eval_f1_macro": 76.70551198484813,
7
+ "eval_f1_micro": 73.80952380952381,
8
+ "eval_f1_weighted": 74.30141333980744,
9
+ "eval_loss": 0.5168728828430176,
10
+ "eval_runtime": 1.9516,
11
+ "eval_samples_per_second": 64.563,
12
+ "init_mem_cpu_alloc_delta": -90214400,
13
+ "init_mem_cpu_peaked_delta": 90214400,
14
+ "init_mem_gpu_alloc_delta": 891528192,
15
+ "init_mem_gpu_peaked_delta": 0,
16
+ "peak_memory": 9.85257568359375,
17
+ "test_accuracy": 73.80952380952381,
18
+ "test_average_metrics": 74.6564932359258,
19
+ "test_classification_report": "{\"0\": {\"precision\": 0.8571428571428571, \"recall\": 0.7692307692307693, \"f1-score\": 0.8108108108108107, \"support\": 39.0}, \"1\": {\"precision\": 0.5625, \"recall\": 0.5625, \"f1-score\": 0.5625, \"support\": 16.0}, \"2\": {\"precision\": 0.35294117647058826, \"recall\": 0.42857142857142855, \"f1-score\": 0.3870967741935484, \"support\": 14.0}, \"3\": {\"precision\": 0.7647058823529411, \"recall\": 0.8666666666666667, \"f1-score\": 0.8125, \"support\": 15.0}, \"4\": {\"precision\": 0.9090909090909091, \"recall\": 0.9090909090909091, \"f1-score\": 0.9090909090909091, \"support\": 11.0}, \"5\": {\"precision\": 0.8181818181818182, \"recall\": 0.75, \"f1-score\": 0.7826086956521738, \"support\": 12.0}, \"6\": {\"precision\": 0.8888888888888888, \"recall\": 0.8888888888888888, \"f1-score\": 0.8888888888888888, \"support\": 9.0}, \"7\": {\"precision\": 0.75, \"recall\": 0.75, \"f1-score\": 0.75, \"support\": 8.0}, \"8\": {\"precision\": 1.0, \"recall\": 1.0, \"f1-score\": 1.0, \"support\": 2.0}, \"micro avg\": {\"precision\": 0.7380952380952381, \"recall\": 0.7380952380952381, \"f1-score\": 0.7380952380952381, \"support\": 126.0}, \"macro avg\": {\"precision\": 0.7670501702364447, \"recall\": 0.7694387402720735, \"f1-score\": 0.7670551198484813, \"support\": 126.0}, \"weighted avg\": {\"precision\": 0.7512580789891715, \"recall\": 0.7380952380952381, \"f1-score\": 0.7430141333980744, \"support\": 126.0}, \"samples avg\": {\"precision\": 0.7380952380952381, \"recall\": 0.7380952380952381, \"f1-score\": 0.7380952380952381, \"support\": 126.0}}",
20
+ "test_f1_macro": 76.70551198484813,
21
+ "test_f1_micro": 73.80952380952381,
22
+ "test_f1_weighted": 74.30141333980744,
23
+ "test_loss": 0.5168728828430176,
24
+ "test_runtime": 1.5602,
25
+ "test_samples_per_second": 80.759,
26
+ "total_time in minutes ": 44.13922083333333,
27
+ "train_mem_cpu_alloc_delta": 325681152,
28
+ "train_mem_cpu_peaked_delta": 85028864,
29
+ "train_mem_gpu_alloc_delta": 40352768,
30
+ "train_mem_gpu_peaked_delta": 9392043520,
31
+ "train_runtime": 2647.4523,
32
+ "train_samples": 497,
33
+ "train_samples_per_second": 1.209
34
+ }
config.json ADDED
@@ -0,0 +1,137 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "t5-base",
3
+ "architectures": [
4
+ "T5ForConditionalGeneration"
5
+ ],
6
+ "attn_method": "linear",
7
+ "attn_prefix_tuning": false,
8
+ "class_weights": null,
9
+ "d_ff": 3072,
10
+ "d_kv": 64,
11
+ "d_model": 768,
12
+ "decoder_start_token_id": 0,
13
+ "dropout_rate": 0.1,
14
+ "eos_token_id": 1,
15
+ "feed_forward_proj": "relu",
16
+ "fix_attention": false,
17
+ "gradient_checkpointing": false,
18
+ "id2label": {
19
+ "0": "LABEL_0",
20
+ "1": "LABEL_1",
21
+ "2": "LABEL_2",
22
+ "3": "LABEL_3",
23
+ "4": "LABEL_4",
24
+ "5": "LABEL_5",
25
+ "6": "LABEL_6",
26
+ "7": "LABEL_7",
27
+ "8": "LABEL_8"
28
+ },
29
+ "ignore_target": false,
30
+ "init_prefix_method": "random",
31
+ "initializer_factor": 1.0,
32
+ "is_contrastive": false,
33
+ "is_encoder_decoder": true,
34
+ "label2id": {
35
+ "LABEL_0": 0,
36
+ "LABEL_1": 1,
37
+ "LABEL_2": 2,
38
+ "LABEL_3": 3,
39
+ "LABEL_4": 4,
40
+ "LABEL_5": 5,
41
+ "LABEL_6": 6,
42
+ "LABEL_7": 7,
43
+ "LABEL_8": 8
44
+ },
45
+ "label_based": false,
46
+ "label_token_ids": [
47
+ [
48
+ 16,
49
+ 10454,
50
+ 2493,
51
+ 1
52
+ ],
53
+ [
54
+ 1921,
55
+ 1
56
+ ],
57
+ [
58
+ 17316,
59
+ 257,
60
+ 1
61
+ ],
62
+ [
63
+ 1690,
64
+ 1
65
+ ],
66
+ [
67
+ 11746,
68
+ 1
69
+ ],
70
+ [
71
+ 21530,
72
+ 1
73
+ ],
74
+ [
75
+ 11122,
76
+ 1
77
+ ],
78
+ [
79
+ 822,
80
+ 1
81
+ ],
82
+ [
83
+ 30430,
84
+ 1
85
+ ]
86
+ ],
87
+ "layer_norm_epsilon": 1e-06,
88
+ "learned_temperature": false,
89
+ "max_length": 12,
90
+ "model_type": "t5",
91
+ "n_positions": 512,
92
+ "normalize_prefixes": false,
93
+ "num_decoder_layers": 12,
94
+ "num_heads": 12,
95
+ "num_layers": 12,
96
+ "num_target": 1,
97
+ "output_past": true,
98
+ "pad_token_id": 0,
99
+ "prefix_num": 1,
100
+ "prefix_tuning": false,
101
+ "relative_attention_num_buckets": 32,
102
+ "shared_attn": false,
103
+ "task_specific_params": {
104
+ "summarization": {
105
+ "early_stopping": true,
106
+ "length_penalty": 2.0,
107
+ "max_length": 200,
108
+ "min_length": 30,
109
+ "no_repeat_ngram_size": 3,
110
+ "num_beams": 4,
111
+ "prefix": "summarize: "
112
+ },
113
+ "translation_en_to_de": {
114
+ "early_stopping": true,
115
+ "max_length": 300,
116
+ "num_beams": 4,
117
+ "prefix": "translate English to German: "
118
+ },
119
+ "translation_en_to_fr": {
120
+ "early_stopping": true,
121
+ "max_length": 300,
122
+ "num_beams": 4,
123
+ "prefix": "translate English to French: "
124
+ },
125
+ "translation_en_to_ro": {
126
+ "early_stopping": true,
127
+ "max_length": 300,
128
+ "num_beams": 4,
129
+ "prefix": "translate English to Romanian: "
130
+ }
131
+ },
132
+ "temperature": 2000,
133
+ "train_task_adapters": true,
134
+ "transformers_version": "4.6.0",
135
+ "use_cache": true,
136
+ "vocab_size": 32100
137
+ }
eval_instances_normalized_attn_scores.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:50764592c09d3053c8ca12d3bd7108d14b2d3b3e93191cb4e40cfdac94418f81
3
+ size 1048
eval_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 200.0,
3
+ "eval_accuracy": 73.80952380952381,
4
+ "eval_average_metrics": 74.6564932359258,
5
+ "eval_classification_report": "{\"0\": {\"precision\": 0.8571428571428571, \"recall\": 0.7692307692307693, \"f1-score\": 0.8108108108108107, \"support\": 39.0}, \"1\": {\"precision\": 0.5625, \"recall\": 0.5625, \"f1-score\": 0.5625, \"support\": 16.0}, \"2\": {\"precision\": 0.35294117647058826, \"recall\": 0.42857142857142855, \"f1-score\": 0.3870967741935484, \"support\": 14.0}, \"3\": {\"precision\": 0.7647058823529411, \"recall\": 0.8666666666666667, \"f1-score\": 0.8125, \"support\": 15.0}, \"4\": {\"precision\": 0.9090909090909091, \"recall\": 0.9090909090909091, \"f1-score\": 0.9090909090909091, \"support\": 11.0}, \"5\": {\"precision\": 0.8181818181818182, \"recall\": 0.75, \"f1-score\": 0.7826086956521738, \"support\": 12.0}, \"6\": {\"precision\": 0.8888888888888888, \"recall\": 0.8888888888888888, \"f1-score\": 0.8888888888888888, \"support\": 9.0}, \"7\": {\"precision\": 0.75, \"recall\": 0.75, \"f1-score\": 0.75, \"support\": 8.0}, \"8\": {\"precision\": 1.0, \"recall\": 1.0, \"f1-score\": 1.0, \"support\": 2.0}, \"micro avg\": {\"precision\": 0.7380952380952381, \"recall\": 0.7380952380952381, \"f1-score\": 0.7380952380952381, \"support\": 126.0}, \"macro avg\": {\"precision\": 0.7670501702364447, \"recall\": 0.7694387402720735, \"f1-score\": 0.7670551198484813, \"support\": 126.0}, \"weighted avg\": {\"precision\": 0.7512580789891715, \"recall\": 0.7380952380952381, \"f1-score\": 0.7430141333980744, \"support\": 126.0}, \"samples avg\": {\"precision\": 0.7380952380952381, \"recall\": 0.7380952380952381, \"f1-score\": 0.7380952380952381, \"support\": 126.0}}",
6
+ "eval_f1_macro": 76.70551198484813,
7
+ "eval_f1_micro": 73.80952380952381,
8
+ "eval_f1_weighted": 74.30141333980744,
9
+ "eval_loss": 0.5168728828430176,
10
+ "eval_runtime": 1.9516,
11
+ "eval_samples_per_second": 64.563
12
+ }
performance_results.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "peak_memory": 9.85257568359375,
3
+ "total_time in minutes ": 44.13922083333333
4
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:54afb85446e63dc459c65faaf0a8e0d77be77231fd6719472631b1f0ee643966
3
+ size 898974606
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "additional_special_tokens": ["<extra_id_0>", "<extra_id_1>", "<extra_id_2>", "<extra_id_3>", "<extra_id_4>", "<extra_id_5>", "<extra_id_6>", "<extra_id_7>", "<extra_id_8>", "<extra_id_9>", "<extra_id_10>", "<extra_id_11>", "<extra_id_12>", "<extra_id_13>", "<extra_id_14>", "<extra_id_15>", "<extra_id_16>", "<extra_id_17>", "<extra_id_18>", "<extra_id_19>", "<extra_id_20>", "<extra_id_21>", "<extra_id_22>", "<extra_id_23>", "<extra_id_24>", "<extra_id_25>", "<extra_id_26>", "<extra_id_27>", "<extra_id_28>", "<extra_id_29>", "<extra_id_30>", "<extra_id_31>", "<extra_id_32>", "<extra_id_33>", "<extra_id_34>", "<extra_id_35>", "<extra_id_36>", "<extra_id_37>", "<extra_id_38>", "<extra_id_39>", "<extra_id_40>", "<extra_id_41>", "<extra_id_42>", "<extra_id_43>", "<extra_id_44>", "<extra_id_45>", "<extra_id_46>", "<extra_id_47>", "<extra_id_48>", "<extra_id_49>", "<extra_id_50>", "<extra_id_51>", "<extra_id_52>", "<extra_id_53>", "<extra_id_54>", "<extra_id_55>", "<extra_id_56>", "<extra_id_57>", "<extra_id_58>", "<extra_id_59>", "<extra_id_60>", "<extra_id_61>", "<extra_id_62>", "<extra_id_63>", "<extra_id_64>", "<extra_id_65>", "<extra_id_66>", "<extra_id_67>", "<extra_id_68>", "<extra_id_69>", "<extra_id_70>", "<extra_id_71>", "<extra_id_72>", "<extra_id_73>", "<extra_id_74>", "<extra_id_75>", "<extra_id_76>", "<extra_id_77>", "<extra_id_78>", "<extra_id_79>", "<extra_id_80>", "<extra_id_81>", "<extra_id_82>", "<extra_id_83>", "<extra_id_84>", "<extra_id_85>", "<extra_id_86>", "<extra_id_87>", "<extra_id_88>", "<extra_id_89>", "<extra_id_90>", "<extra_id_91>", "<extra_id_92>", "<extra_id_93>", "<extra_id_94>", "<extra_id_95>", "<extra_id_96>", "<extra_id_97>", "<extra_id_98>", "<extra_id_99>"]}
spiece.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
3
+ size 791656
test-predictions-1723600809.csv ADDED
The diff for this file is too large to render. See raw diff
 
test-predictions-1723602128.csv ADDED
The diff for this file is too large to render. See raw diff
 
test-predictions-1723602513.csv ADDED
The diff for this file is too large to render. See raw diff
 
test-predictions-1723602515.csv ADDED
@@ -0,0 +1,127 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ,id,text
2
+ 60,3,"rejection, challenge"
3
+ 67,12,informing statement
4
+ 49,19,informing statement
5
+ 101,26,"accusation, challenge"
6
+ 116,29,informing statement
7
+ 81,43,informing statement
8
+ 52,45,informing statement
9
+ 103,48,"accusation, informing statement"
10
+ 86,50,question
11
+ 93,56,informing statement
12
+ 29,69,"informing statement, challenge"
13
+ 105,70,"informing statement, challenge"
14
+ 78,72,"rejection, informing statement"
15
+ 47,74,informing statement
16
+ 36,79,"accusation, informing statement"
17
+ 79,81,informing statement
18
+ 75,84,appreciation
19
+ 37,94,informing statement
20
+ 111,97,"rejection, challenge"
21
+ 61,102,informing statement
22
+ 94,104,"informing statement, rejection"
23
+ 14,107,"request, informing statement"
24
+ 5,110,informing statement
25
+ 13,112,"accusation, informing statement"
26
+ 10,114,"rejection, challenge"
27
+ 65,119,"challenge, informing statement"
28
+ 122,121,"challenge, informing statement"
29
+ 46,122,appreciation
30
+ 18,127,acceptance
31
+ 77,144,"informing statement, challenge"
32
+ 23,145,"challenge, informing statement"
33
+ 17,146,informing statement
34
+ 107,150,"request, informing statement"
35
+ 56,151,"challenge, question"
36
+ 54,154,"informing statement, challenge"
37
+ 38,162,"accusation, question"
38
+ 90,167,"rejection, informing statement"
39
+ 63,169,"accusation, informing statement"
40
+ 106,177,apology
41
+ 20,178,informing statement
42
+ 21,184,"acceptance, informing statement"
43
+ 125,188,"challenge, informing statement"
44
+ 45,194,"question, challenge"
45
+ 22,195,"rejection, informing statement"
46
+ 25,203,informing statement
47
+ 51,208,"accusation, informing statement"
48
+ 91,211,"challenge, informing statement"
49
+ 84,213,"informing statement, challenge"
50
+ 85,216,"accusation, informing statement"
51
+ 108,218,informing statement
52
+ 88,227,informing statement
53
+ 124,234,"challenge, informing statement"
54
+ 99,236,"acceptance, informing statement"
55
+ 53,246,request
56
+ 109,253,"acceptance, informing statement"
57
+ 30,259,"informing statement, challenge"
58
+ 19,264,"accusation, informing statement"
59
+ 2,271,question
60
+ 69,277,"request, challenge"
61
+ 121,297,"acceptance, informing statement"
62
+ 24,308,request
63
+ 115,309,"informing statement, challenge"
64
+ 76,313,"acceptance, informing statement"
65
+ 39,314,"request, informing statement"
66
+ 118,315,appreciation
67
+ 11,327,request
68
+ 16,329,"appreciation, informing statement"
69
+ 71,333,"accusation, question"
70
+ 74,334,"informing statement, challenge"
71
+ 58,339,"rejection, challenge"
72
+ 3,349,informing statement
73
+ 83,364,informing statement
74
+ 57,370,informing statement
75
+ 59,374,"accusation, informing statement"
76
+ 28,376,informing statement
77
+ 6,382,"challenge, informing statement"
78
+ 40,383,informing statement
79
+ 72,391,"rejection, informing statement"
80
+ 26,396,"accusation, informing statement"
81
+ 50,397,"informing statement, challenge"
82
+ 87,402,"appreciation, informing statement"
83
+ 98,408,"rejection, informing statement"
84
+ 114,410,"rejection, informing statement"
85
+ 12,417,"accusation, informing statement"
86
+ 100,418,question
87
+ 15,426,"accusation, informing statement"
88
+ 27,445,informing statement
89
+ 113,451,"rejection, informing statement"
90
+ 34,479,"informing statement, challenge"
91
+ 97,482,informing statement
92
+ 35,488,"accusation, question"
93
+ 112,491,"request, informing statement"
94
+ 119,497,question
95
+ 117,517,appreciation
96
+ 4,526,appreciation
97
+ 110,527,"challenge, informing statement"
98
+ 70,528,informing statement
99
+ 0,538,"appreciation, informing statement"
100
+ 95,541,"accusation, informing statement"
101
+ 104,545,request
102
+ 80,548,"challenge, question"
103
+ 55,562,informing statement
104
+ 42,571,request
105
+ 96,576,"question, informing statement"
106
+ 64,577,"accusation, informing statement"
107
+ 1,588,"informing statement, challenge"
108
+ 102,591,"accusation, informing statement"
109
+ 48,595,informing statement
110
+ 66,600,"accusation, informing statement"
111
+ 41,602,question
112
+ 68,603,informing statement
113
+ 31,606,"request, informing statement"
114
+ 7,607,appreciation
115
+ 82,609,"request, informing statement"
116
+ 43,617,"accusation, informing statement"
117
+ 73,631,"accusation, informing statement"
118
+ 92,642,informing statement
119
+ 8,643,"appreciation, informing statement"
120
+ 44,653,"accusation, informing statement"
121
+ 9,655,"rejection, informing statement"
122
+ 62,657,"accusation, informing statement"
123
+ 120,661,"request, informing statement"
124
+ 32,663,"appreciation, informing statement"
125
+ 89,664,informing statement
126
+ 123,665,"question, informing statement"
127
+ 33,672,apology
test-predictions-1723653031.csv ADDED
The diff for this file is too large to render. See raw diff
 
test-predictions-1723653759.csv ADDED
The diff for this file is too large to render. See raw diff
 
test-predictions-1723654568.csv ADDED
The diff for this file is too large to render. See raw diff
 
test-predictions-1723654570.csv ADDED
@@ -0,0 +1,127 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ,id,text
2
+ 60,3,"challenge, question"
3
+ 67,12,informing statement
4
+ 49,19,informing statement
5
+ 101,26,"challenge, informing statement"
6
+ 116,29,informing statement
7
+ 81,43,"acceptance, informing statement"
8
+ 52,45,informing statement
9
+ 103,48,"accusation, informing statement"
10
+ 86,50,question
11
+ 93,56,"acceptance, informing statement"
12
+ 29,69,"informing statement, request"
13
+ 105,70,"challenge, informing statement"
14
+ 78,72,"rejection, challenge"
15
+ 47,74,informing statement
16
+ 36,79,"accusation, informing statement"
17
+ 79,81,informing statement
18
+ 75,84,"appreciation, informing statement"
19
+ 37,94,informing statement
20
+ 111,97,"rejection, challenge"
21
+ 61,102,informing statement
22
+ 94,104,informing statement
23
+ 14,107,"request, informing statement"
24
+ 5,110,acceptance
25
+ 13,112,"accusation, informing statement"
26
+ 10,114,"challenge, informing statement"
27
+ 65,119,"challenge, informing statement"
28
+ 122,121,"challenge, informing statement"
29
+ 46,122,appreciation
30
+ 18,127,"acceptance, informing statement"
31
+ 77,144,"informing statement, challenge"
32
+ 23,145,"challenge, informing statement"
33
+ 17,146,informing statement
34
+ 107,150,"request, informing statement"
35
+ 56,151,"challenge, question"
36
+ 54,154,"informing statement, challenge"
37
+ 38,162,"accusation, question"
38
+ 90,167,"rejection, informing statement"
39
+ 63,169,"accusation, informing statement"
40
+ 106,177,apology
41
+ 20,178,informing statement
42
+ 21,184,acceptance
43
+ 125,188,"challenge, informing statement"
44
+ 45,194,"question, challenge"
45
+ 22,195,"rejection, challenge"
46
+ 25,203,informing statement
47
+ 51,208,"accusation, informing statement"
48
+ 91,211,"request, informing statement"
49
+ 84,213,"challenge, informing statement"
50
+ 85,216,"accusation, informing statement"
51
+ 108,218,informing statement
52
+ 88,227,informing statement
53
+ 124,234,"challenge, question"
54
+ 99,236,"acceptance, informing statement"
55
+ 53,246,request
56
+ 109,253,"acceptance, informing statement"
57
+ 30,259,"challenge, informing statement"
58
+ 19,264,"accusation, informing statement"
59
+ 2,271,"question, challenge"
60
+ 69,277,"request, challenge"
61
+ 121,297,"acceptance, informing statement"
62
+ 24,308,request
63
+ 115,309,"informing statement, challenge"
64
+ 76,313,"acceptance, informing statement"
65
+ 39,314,"request, informing statement"
66
+ 118,315,appreciation
67
+ 11,327,request
68
+ 16,329,"appreciation, informing statement"
69
+ 71,333,"accusation, question"
70
+ 74,334,"informing statement, challenge"
71
+ 58,339,"rejection, request"
72
+ 3,349,informing statement
73
+ 83,364,"informing statement, rejection"
74
+ 57,370,informing statement
75
+ 59,374,"accusation, informing statement"
76
+ 28,376,"accusation, question"
77
+ 6,382,"challenge, informing statement"
78
+ 40,383,informing statement
79
+ 72,391,"rejection, informing statement"
80
+ 26,396,"rejection, challenge"
81
+ 50,397,"informing statement, challenge"
82
+ 87,402,"appreciation, informing statement"
83
+ 98,408,"rejection, challenge"
84
+ 114,410,"rejection, accusation"
85
+ 12,417,"accusation, informing statement"
86
+ 100,418,question
87
+ 15,426,"request, informing statement"
88
+ 27,445,informing statement
89
+ 113,451,"rejection, informing statement"
90
+ 34,479,"informing statement, challenge"
91
+ 97,482,informing statement
92
+ 35,488,"accusation, question"
93
+ 112,491,"request, informing statement"
94
+ 119,497,"question, challenge"
95
+ 117,517,appreciation
96
+ 4,526,"appreciation, informing statement"
97
+ 110,527,"challenge, informing statement"
98
+ 70,528,informing statement
99
+ 0,538,"appreciation, informing statement"
100
+ 95,541,"request, accusation"
101
+ 104,545,request
102
+ 80,548,"challenge, question"
103
+ 55,562,informing statement
104
+ 42,571,"request, informing statement"
105
+ 96,576,"question, request"
106
+ 64,577,"accusation, informing statement"
107
+ 1,588,informing statement
108
+ 102,591,"accusation, informing statement"
109
+ 48,595,informing statement
110
+ 66,600,"request, informing statement"
111
+ 41,602,question
112
+ 68,603,"informing statement, challenge"
113
+ 31,606,"request, accusation"
114
+ 7,607,"appreciation, informing statement"
115
+ 82,609,"request, informing statement"
116
+ 43,617,"accusation, informing statement"
117
+ 73,631,challenge
118
+ 92,642,informing statement
119
+ 8,643,"appreciation, informing statement"
120
+ 44,653,"accusation, challenge"
121
+ 9,655,"rejection, accusation"
122
+ 62,657,"informing statement, challenge"
123
+ 120,661,"request, informing statement"
124
+ 32,663,"appreciation, informing statement"
125
+ 89,664,informing statement
126
+ 123,665,"question, challenge"
127
+ 33,672,apology
test_instances_normalized_attn_scores.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0cf18366eb389698056f39a6158bd36abae1b39c77767057ccaca0a3c413cd26
3
+ size 1048
test_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 200.0,
3
+ "test_accuracy": 73.80952380952381,
4
+ "test_average_metrics": 74.6564932359258,
5
+ "test_classification_report": "{\"0\": {\"precision\": 0.8571428571428571, \"recall\": 0.7692307692307693, \"f1-score\": 0.8108108108108107, \"support\": 39.0}, \"1\": {\"precision\": 0.5625, \"recall\": 0.5625, \"f1-score\": 0.5625, \"support\": 16.0}, \"2\": {\"precision\": 0.35294117647058826, \"recall\": 0.42857142857142855, \"f1-score\": 0.3870967741935484, \"support\": 14.0}, \"3\": {\"precision\": 0.7647058823529411, \"recall\": 0.8666666666666667, \"f1-score\": 0.8125, \"support\": 15.0}, \"4\": {\"precision\": 0.9090909090909091, \"recall\": 0.9090909090909091, \"f1-score\": 0.9090909090909091, \"support\": 11.0}, \"5\": {\"precision\": 0.8181818181818182, \"recall\": 0.75, \"f1-score\": 0.7826086956521738, \"support\": 12.0}, \"6\": {\"precision\": 0.8888888888888888, \"recall\": 0.8888888888888888, \"f1-score\": 0.8888888888888888, \"support\": 9.0}, \"7\": {\"precision\": 0.75, \"recall\": 0.75, \"f1-score\": 0.75, \"support\": 8.0}, \"8\": {\"precision\": 1.0, \"recall\": 1.0, \"f1-score\": 1.0, \"support\": 2.0}, \"micro avg\": {\"precision\": 0.7380952380952381, \"recall\": 0.7380952380952381, \"f1-score\": 0.7380952380952381, \"support\": 126.0}, \"macro avg\": {\"precision\": 0.7670501702364447, \"recall\": 0.7694387402720735, \"f1-score\": 0.7670551198484813, \"support\": 126.0}, \"weighted avg\": {\"precision\": 0.7512580789891715, \"recall\": 0.7380952380952381, \"f1-score\": 0.7430141333980744, \"support\": 126.0}, \"samples avg\": {\"precision\": 0.7380952380952381, \"recall\": 0.7380952380952381, \"f1-score\": 0.7380952380952381, \"support\": 126.0}}",
6
+ "test_f1_macro": 76.70551198484813,
7
+ "test_f1_micro": 73.80952380952381,
8
+ "test_f1_weighted": 74.30141333980744,
9
+ "test_loss": 0.5168728828430176,
10
+ "test_runtime": 1.5602,
11
+ "test_samples_per_second": 80.759
12
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 100, "additional_special_tokens": ["<extra_id_0>", "<extra_id_1>", "<extra_id_2>", "<extra_id_3>", "<extra_id_4>", "<extra_id_5>", "<extra_id_6>", "<extra_id_7>", "<extra_id_8>", "<extra_id_9>", "<extra_id_10>", "<extra_id_11>", "<extra_id_12>", "<extra_id_13>", "<extra_id_14>", "<extra_id_15>", "<extra_id_16>", "<extra_id_17>", "<extra_id_18>", "<extra_id_19>", "<extra_id_20>", "<extra_id_21>", "<extra_id_22>", "<extra_id_23>", "<extra_id_24>", "<extra_id_25>", "<extra_id_26>", "<extra_id_27>", "<extra_id_28>", "<extra_id_29>", "<extra_id_30>", "<extra_id_31>", "<extra_id_32>", "<extra_id_33>", "<extra_id_34>", "<extra_id_35>", "<extra_id_36>", "<extra_id_37>", "<extra_id_38>", "<extra_id_39>", "<extra_id_40>", "<extra_id_41>", "<extra_id_42>", "<extra_id_43>", "<extra_id_44>", "<extra_id_45>", "<extra_id_46>", "<extra_id_47>", "<extra_id_48>", "<extra_id_49>", "<extra_id_50>", "<extra_id_51>", "<extra_id_52>", "<extra_id_53>", "<extra_id_54>", "<extra_id_55>", "<extra_id_56>", "<extra_id_57>", "<extra_id_58>", "<extra_id_59>", "<extra_id_60>", "<extra_id_61>", "<extra_id_62>", "<extra_id_63>", "<extra_id_64>", "<extra_id_65>", "<extra_id_66>", "<extra_id_67>", "<extra_id_68>", "<extra_id_69>", "<extra_id_70>", "<extra_id_71>", "<extra_id_72>", "<extra_id_73>", "<extra_id_74>", "<extra_id_75>", "<extra_id_76>", "<extra_id_77>", "<extra_id_78>", "<extra_id_79>", "<extra_id_80>", "<extra_id_81>", "<extra_id_82>", "<extra_id_83>", "<extra_id_84>", "<extra_id_85>", "<extra_id_86>", "<extra_id_87>", "<extra_id_88>", "<extra_id_89>", "<extra_id_90>", "<extra_id_91>", "<extra_id_92>", "<extra_id_93>", "<extra_id_94>", "<extra_id_95>", "<extra_id_96>", "<extra_id_97>", "<extra_id_98>", "<extra_id_99>"], "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "t5-base"}
train_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 200.0,
3
+ "init_mem_cpu_alloc_delta": -90214400,
4
+ "init_mem_cpu_peaked_delta": 90214400,
5
+ "init_mem_gpu_alloc_delta": 891528192,
6
+ "init_mem_gpu_peaked_delta": 0,
7
+ "train_mem_cpu_alloc_delta": 325681152,
8
+ "train_mem_cpu_peaked_delta": 85028864,
9
+ "train_mem_gpu_alloc_delta": 40352768,
10
+ "train_mem_gpu_peaked_delta": 9392043520,
11
+ "train_runtime": 2647.4523,
12
+ "train_samples": 497,
13
+ "train_samples_per_second": 1.209
14
+ }
trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83a1f24e33e93b662ae4b573a7560d866c7feb24472cc17d83de514c60533bce
3
+ size 3384