Spaces:
Running
Running
aliasgerovs
commited on
Commit
•
2ef7756
1
Parent(s):
d0b56d8
Updated
Browse files- nohup.out +38 -0
- predictors.py +5 -5
nohup.out
CHANGED
@@ -23,3 +23,41 @@ Traceback (most recent call last):
|
|
23 |
File "/usr/local/lib/python3.9/dist-packages/transformers/modeling_utils.py", line 2182, in from_pretrained
|
24 |
raise EnvironmentError(
|
25 |
OSError: polygraf-ai/quillbot-detector-roberta-base-28K does not appear to have a file named pytorch_model.bin, tf_model.h5, model.ckpt or flax_model.msgpack.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
23 |
File "/usr/local/lib/python3.9/dist-packages/transformers/modeling_utils.py", line 2182, in from_pretrained
|
24 |
raise EnvironmentError(
|
25 |
OSError: polygraf-ai/quillbot-detector-roberta-base-28K does not appear to have a file named pytorch_model.bin, tf_model.h5, model.ckpt or flax_model.msgpack.
|
26 |
+
2024-03-27 11:14:47.090743: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
|
27 |
+
2024-03-27 11:14:47.090847: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
|
28 |
+
2024-03-27 11:14:47.092787: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
|
29 |
+
2024-03-27 11:14:47.101435: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
|
30 |
+
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
|
31 |
+
2024-03-27 11:14:48.367455: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
|
32 |
+
[nltk_data] Downloading package punkt to /root/nltk_data...
|
33 |
+
[nltk_data] Package punkt is already up-to-date!
|
34 |
+
[nltk_data] Downloading package punkt to /root/nltk_data...
|
35 |
+
[nltk_data] Package punkt is already up-to-date!
|
36 |
+
[nltk_data] Downloading package stopwords to /root/nltk_data...
|
37 |
+
[nltk_data] Package stopwords is already up-to-date!
|
38 |
+
[nltk_data] Downloading package punkt to /root/nltk_data...
|
39 |
+
[nltk_data] Package punkt is already up-to-date!
|
40 |
+
[nltk_data] Downloading package punkt to /root/nltk_data...
|
41 |
+
[nltk_data] Package punkt is already up-to-date!
|
42 |
+
[nltk_data] Downloading package stopwords to /root/nltk_data...
|
43 |
+
[nltk_data] Package stopwords is already up-to-date!
|
44 |
+
error: externally-managed-environment
|
45 |
+
|
46 |
+
× This environment is externally managed
|
47 |
+
╰─> To install Python packages system-wide, try apt install
|
48 |
+
python3-xyz, where xyz is the package you are trying to
|
49 |
+
install.
|
50 |
+
|
51 |
+
If you wish to install a non-Debian-packaged Python package,
|
52 |
+
create a virtual environment using python3 -m venv path/to/venv.
|
53 |
+
Then use path/to/venv/bin/python and path/to/venv/bin/pip. Make
|
54 |
+
sure you have python3-full installed.
|
55 |
+
|
56 |
+
If you wish to install a non-Debian packaged Python application,
|
57 |
+
it may be easiest to use pipx install xyz, which will manage a
|
58 |
+
virtual environment for you. Make sure you have pipx installed.
|
59 |
+
|
60 |
+
See /usr/share/doc/python3.11/README.venv for more information.
|
61 |
+
|
62 |
+
note: If you believe this is a mistake, please contact your Python installation or OS distribution provider. You can override this, at the risk of breaking your Python installation or OS, by passing --break-system-packages.
|
63 |
+
hint: See PEP 668 for the detailed specification.
|
predictors.py
CHANGED
@@ -276,11 +276,11 @@ def predict_bc_scores(input):
|
|
276 |
average_bc_scores = np.mean(bc_scores_array, axis=0)
|
277 |
bc_score_list = average_bc_scores.tolist()
|
278 |
print(f"Original BC scores: AI: {bc_score_list[1]}, HUMAN: {bc_score_list[0]}")
|
279 |
-
# isotonic regression calibration
|
280 |
-
ai_score = iso_reg.predict([bc_score_list[1]])[0]
|
281 |
-
human_score = 1 - ai_score
|
282 |
-
bc_score = {"AI":
|
283 |
-
print(f"Calibration BC scores: AI: {ai_score}, HUMAN: {human_score}")
|
284 |
return bc_score
|
285 |
|
286 |
|
|
|
276 |
average_bc_scores = np.mean(bc_scores_array, axis=0)
|
277 |
bc_score_list = average_bc_scores.tolist()
|
278 |
print(f"Original BC scores: AI: {bc_score_list[1]}, HUMAN: {bc_score_list[0]}")
|
279 |
+
# # isotonic regression calibration
|
280 |
+
# ai_score = iso_reg.predict([bc_score_list[1]])[0]
|
281 |
+
# human_score = 1 - ai_score
|
282 |
+
bc_score = {"AI": bc_score_list[1], "HUMAN": bc_score_list[0]}
|
283 |
+
# print(f"Calibration BC scores: AI: {ai_score}, HUMAN: {human_score}")
|
284 |
return bc_score
|
285 |
|
286 |
|