Hugging Face's logo

Datasets:
hf-internal-testing
/
transformers_ci_push

Dataset card Files
xet
Community
hf-transformers-bot commited on
Commit
4a923c7
·
verified ·
1 Parent(s): b5efea8

Upload 2025-09-01/runs/4967-17380850845/ci_results_run_models_gpu/model_results.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. 2025-09-01/runs/4967-17380850845/ci_results_run_models_gpu/model_results.json +192 -0
2025-09-01/runs/4967-17380850845/ci_results_run_models_gpu/model_results.json ADDED
@@ -0,0 +1,192 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "models_smolvlm": {
3
+ "failed": {
4
+ "PyTorch": {
5
+ "unclassified": 0,
6
+ "single": 1,
7
+ "multi": 1
8
+ },
9
+ "TensorFlow": {
10
+ "unclassified": 0,
11
+ "single": 0,
12
+ "multi": 0
13
+ },
14
+ "Flax": {
15
+ "unclassified": 0,
16
+ "single": 0,
17
+ "multi": 0
18
+ },
19
+ "Tokenizers": {
20
+ "unclassified": 0,
21
+ "single": 0,
22
+ "multi": 0
23
+ },
24
+ "Pipelines": {
25
+ "unclassified": 0,
26
+ "single": 0,
27
+ "multi": 0
28
+ },
29
+ "Trainer": {
30
+ "unclassified": 0,
31
+ "single": 0,
32
+ "multi": 0
33
+ },
34
+ "ONNX": {
35
+ "unclassified": 0,
36
+ "single": 0,
37
+ "multi": 0
38
+ },
39
+ "Auto": {
40
+ "unclassified": 0,
41
+ "single": 0,
42
+ "multi": 0
43
+ },
44
+ "Quantization": {
45
+ "unclassified": 0,
46
+ "single": 0,
47
+ "multi": 0
48
+ },
49
+ "Unclassified": {
50
+ "unclassified": 0,
51
+ "single": 0,
52
+ "multi": 0
53
+ }
54
+ },
55
+ "errors": 0,
56
+ "success": 535,
57
+ "skipped": 241,
58
+ "time_spent": [
59
+ 101.99,
60
+ 98.66
61
+ ],
62
+ "failures": {
63
+ "multi": [
64
+ {
65
+ "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationIntegrationTest::test_integration_test_video",
66
+ "trace": "(line 675) AssertionError: 'User[310 chars]ideo depicts a large language model architectu[58 chars]ture' != 'User[310 chars]ideo showcases a large language model, specifi[56 chars] and'"
67
+ }
68
+ ],
69
+ "single": [
70
+ {
71
+ "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationIntegrationTest::test_integration_test_video",
72
+ "trace": "(line 675) AssertionError: 'User[310 chars]ideo depicts a large language model architectu[58 chars]ture' != 'User[310 chars]ideo showcases a large language model, specifi[56 chars] and'"
73
+ }
74
+ ]
75
+ },
76
+ "job_link": {
77
+ "multi": "https://github.com/huggingface/transformers/actions/runs/17380850845/job/49338272598",
78
+ "single": "https://github.com/huggingface/transformers/actions/runs/17380850845/job/49338272591"
79
+ }
80
+ },
81
+ "models_whisper": {
82
+ "failed": {
83
+ "PyTorch": {
84
+ "unclassified": 0,
85
+ "single": 5,
86
+ "multi": 5
87
+ },
88
+ "TensorFlow": {
89
+ "unclassified": 0,
90
+ "single": 0,
91
+ "multi": 0
92
+ },
93
+ "Flax": {
94
+ "unclassified": 0,
95
+ "single": 0,
96
+ "multi": 0
97
+ },
98
+ "Tokenizers": {
99
+ "unclassified": 0,
100
+ "single": 0,
101
+ "multi": 0
102
+ },
103
+ "Pipelines": {
104
+ "unclassified": 0,
105
+ "single": 0,
106
+ "multi": 0
107
+ },
108
+ "Trainer": {
109
+ "unclassified": 0,
110
+ "single": 0,
111
+ "multi": 0
112
+ },
113
+ "ONNX": {
114
+ "unclassified": 0,
115
+ "single": 0,
116
+ "multi": 0
117
+ },
118
+ "Auto": {
119
+ "unclassified": 0,
120
+ "single": 0,
121
+ "multi": 0
122
+ },
123
+ "Quantization": {
124
+ "unclassified": 0,
125
+ "single": 0,
126
+ "multi": 0
127
+ },
128
+ "Unclassified": {
129
+ "unclassified": 0,
130
+ "single": 0,
131
+ "multi": 0
132
+ }
133
+ },
134
+ "errors": 0,
135
+ "success": 1029,
136
+ "skipped": 445,
137
+ "time_spent": [
138
+ 731.94,
139
+ 705.98
140
+ ],
141
+ "failures": {
142
+ "multi": [
143
+ {
144
+ "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_large_batched_generation_multilingual",
145
+ "trace": "(line 829) RuntimeError: The frame has 0 channels, expected 1. If you are hitting this, it may be because you are using a buggy FFmpeg version. FFmpeg4 is known to fail here in some valid scenarios. Try to upgrade FFmpeg?"
146
+ },
147
+ {
148
+ "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_small_longform_timestamps_generation",
149
+ "trace": "(line 829) RuntimeError: The frame has 0 channels, expected 1. If you are hitting this, it may be because you are using a buggy FFmpeg version. FFmpeg4 is known to fail here in some valid scenarios. Try to upgrade FFmpeg?"
150
+ },
151
+ {
152
+ "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_tiny_longform_timestamps_generation",
153
+ "trace": "(line 829) RuntimeError: The frame has 0 channels, expected 1. If you are hitting this, it may be because you are using a buggy FFmpeg version. FFmpeg4 is known to fail here in some valid scenarios. Try to upgrade FFmpeg?"
154
+ },
155
+ {
156
+ "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_whisper_longform_multi_batch_hard",
157
+ "trace": "(line 675) AssertionError: Lists differ: [\" Fo[272 chars]ting of classics, Sicilian, nade door variatio[8147 chars]le!'] != [\" Fo[272 chars]ting a classic Sicilian, nade door variation o[8150 chars]le!']"
158
+ },
159
+ {
160
+ "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_whisper_shortform_single_batch_prev_cond",
161
+ "trace": "(line 675) AssertionError: Lists differ: [\" Fo[268 chars]ating, so soft, it would make JD power and her[196 chars]ke.\"] != [\" Fo[268 chars]ating so soft, it would make JD power and her [195 chars]ke.\"]"
162
+ }
163
+ ],
164
+ "single": [
165
+ {
166
+ "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_large_batched_generation_multilingual",
167
+ "trace": "(line 829) RuntimeError: The frame has 0 channels, expected 1. If you are hitting this, it may be because you are using a buggy FFmpeg version. FFmpeg4 is known to fail here in some valid scenarios. Try to upgrade FFmpeg?"
168
+ },
169
+ {
170
+ "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_small_longform_timestamps_generation",
171
+ "trace": "(line 829) RuntimeError: The frame has 0 channels, expected 1. If you are hitting this, it may be because you are using a buggy FFmpeg version. FFmpeg4 is known to fail here in some valid scenarios. Try to upgrade FFmpeg?"
172
+ },
173
+ {
174
+ "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_tiny_longform_timestamps_generation",
175
+ "trace": "(line 829) RuntimeError: The frame has 0 channels, expected 1. If you are hitting this, it may be because you are using a buggy FFmpeg version. FFmpeg4 is known to fail here in some valid scenarios. Try to upgrade FFmpeg?"
176
+ },
177
+ {
178
+ "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_whisper_longform_multi_batch_hard",
179
+ "trace": "(line 675) AssertionError: Lists differ: [\" Fo[272 chars]ting of classics, Sicilian, nade door variatio[8147 chars]le!'] != [\" Fo[272 chars]ting a classic Sicilian, nade door variation o[8150 chars]le!']"
180
+ },
181
+ {
182
+ "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_whisper_shortform_single_batch_prev_cond",
183
+ "trace": "(line 675) AssertionError: Lists differ: [\" Fo[268 chars]ating, so soft, it would make JD power and her[196 chars]ke.\"] != [\" Fo[268 chars]ating so soft, it would make JD power and her [195 chars]ke.\"]"
184
+ }
185
+ ]
186
+ },
187
+ "job_link": {
188
+ "multi": "https://github.com/huggingface/transformers/actions/runs/17380850845/job/49338272597",
189
+ "single": "https://github.com/huggingface/transformers/actions/runs/17380850845/job/49338272593"
190
+ }
191
+ }
192
+ }