marinone94
commited on
Commit
•
166c885
1
Parent(s):
7c14ed3
final training
Browse files- all_results.json +15 -15
- eval_pretrained_results.json +3 -3
- pytorch_model.bin +1 -1
- requirements.txt +199 -4
- test_finetuned_results.json +5 -5
- test_pretrained_results.json +3 -3
- train_results.json +4 -4
- trainer_state.json +275 -275
- training_args.bin +1 -1
all_results.json
CHANGED
@@ -2,31 +2,31 @@
|
|
2 |
"epoch": 2.32,
|
3 |
"eval_loss": 1.6191972494125366,
|
4 |
"eval_pretrained_loss": 1.710707187652588,
|
5 |
-
"eval_pretrained_runtime":
|
6 |
-
"eval_pretrained_samples_per_second": 2.
|
7 |
-
"eval_pretrained_steps_per_second": 0.
|
8 |
"eval_pretrained_wer": 258.2308797700783,
|
9 |
"eval_runtime": 56.3363,
|
10 |
"eval_samples_per_second": 0.071,
|
11 |
"eval_steps_per_second": 0.036,
|
12 |
"eval_wer": 153.2258064516129,
|
13 |
-
"test_finetuned_loss": 1.
|
14 |
-
"test_finetuned_runtime":
|
15 |
-
"test_finetuned_samples_per_second": 4.
|
16 |
-
"test_finetuned_steps_per_second": 0.
|
17 |
-
"test_finetuned_wer":
|
18 |
"test_loss": 1.7568330764770508,
|
19 |
"test_pretrained_loss": 1.723103642463684,
|
20 |
-
"test_pretrained_runtime":
|
21 |
-
"test_pretrained_samples_per_second":
|
22 |
-
"test_pretrained_steps_per_second": 0.
|
23 |
"test_pretrained_wer": 261.9265750514506,
|
24 |
"test_runtime": 37.8582,
|
25 |
"test_samples_per_second": 0.106,
|
26 |
"test_steps_per_second": 0.053,
|
27 |
"test_wer": 138.5964912280702,
|
28 |
-
"train_loss":
|
29 |
-
"train_runtime":
|
30 |
-
"train_samples_per_second": 4.
|
31 |
-
"train_steps_per_second": 0.
|
32 |
}
|
|
|
2 |
"epoch": 2.32,
|
3 |
"eval_loss": 1.6191972494125366,
|
4 |
"eval_pretrained_loss": 1.710707187652588,
|
5 |
+
"eval_pretrained_runtime": 125.9444,
|
6 |
+
"eval_pretrained_samples_per_second": 2.62,
|
7 |
+
"eval_pretrained_steps_per_second": 0.087,
|
8 |
"eval_pretrained_wer": 258.2308797700783,
|
9 |
"eval_runtime": 56.3363,
|
10 |
"eval_samples_per_second": 0.071,
|
11 |
"eval_steps_per_second": 0.036,
|
12 |
"eval_wer": 153.2258064516129,
|
13 |
+
"test_finetuned_loss": 1.0840972661972046,
|
14 |
+
"test_finetuned_runtime": 169.6782,
|
15 |
+
"test_finetuned_samples_per_second": 4.473,
|
16 |
+
"test_finetuned_steps_per_second": 0.141,
|
17 |
+
"test_finetuned_wer": 172.4357697669787,
|
18 |
"test_loss": 1.7568330764770508,
|
19 |
"test_pretrained_loss": 1.723103642463684,
|
20 |
+
"test_pretrained_runtime": 196.5873,
|
21 |
+
"test_pretrained_samples_per_second": 3.861,
|
22 |
+
"test_pretrained_steps_per_second": 0.122,
|
23 |
"test_pretrained_wer": 261.9265750514506,
|
24 |
"test_runtime": 37.8582,
|
25 |
"test_samples_per_second": 0.106,
|
26 |
"test_steps_per_second": 0.053,
|
27 |
"test_wer": 138.5964912280702,
|
28 |
+
"train_loss": 1.0522634956453527,
|
29 |
+
"train_runtime": 1735.2585,
|
30 |
+
"train_samples_per_second": 4.131,
|
31 |
+
"train_steps_per_second": 0.065
|
32 |
}
|
eval_pretrained_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"eval_pretrained_loss": 1.710707187652588,
|
3 |
-
"eval_pretrained_runtime":
|
4 |
-
"eval_pretrained_samples_per_second": 2.
|
5 |
-
"eval_pretrained_steps_per_second": 0.
|
6 |
"eval_pretrained_wer": 258.2308797700783
|
7 |
}
|
|
|
1 |
{
|
2 |
"eval_pretrained_loss": 1.710707187652588,
|
3 |
+
"eval_pretrained_runtime": 125.9444,
|
4 |
+
"eval_pretrained_samples_per_second": 2.62,
|
5 |
+
"eval_pretrained_steps_per_second": 0.087,
|
6 |
"eval_pretrained_wer": 258.2308797700783
|
7 |
}
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 151098921
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2027faf2910d36a40b249965d707ab19532ef0effc8d243d184de4439275106e
|
3 |
size 151098921
|
requirements.txt
CHANGED
@@ -1,100 +1,295 @@
|
|
1 |
absl-py==1.3.0
|
2 |
aiohttp==3.8.3
|
3 |
aiosignal==1.3.1
|
|
|
4 |
appdirs==1.4.4
|
|
|
|
|
|
|
5 |
async-timeout==4.0.2
|
|
|
6 |
attrs==22.1.0
|
7 |
audioread==3.0.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
8 |
boto3==1.26.27
|
9 |
botocore==1.29.27
|
|
|
10 |
cachetools==5.2.0
|
|
|
11 |
certifi==2022.12.7
|
12 |
cffi==1.15.1
|
|
|
13 |
charset-normalizer==2.1.1
|
14 |
click==8.1.3
|
|
|
|
|
|
|
|
|
|
|
|
|
15 |
contextlib2==21.6.0
|
|
|
|
|
|
|
|
|
|
|
16 |
datasets @ git+https://github.com/huggingface/datasets@6338ded243ccb495b53b1996cba0847bdc250aba
|
|
|
17 |
decorator==5.1.1
|
|
|
18 |
dill==0.3.6
|
|
|
|
|
|
|
|
|
19 |
docker-pycreds==0.4.0
|
|
|
|
|
20 |
evaluate==0.3.0
|
|
|
21 |
filelock==3.8.2
|
|
|
|
|
|
|
22 |
frozenlist==1.3.3
|
23 |
fsspec==2022.11.0
|
|
|
|
|
24 |
gitdb==4.0.10
|
25 |
GitPython==3.1.29
|
|
|
26 |
google-auth==2.15.0
|
27 |
google-auth-oauthlib==0.4.6
|
28 |
google-pasta==0.2.0
|
29 |
grpcio==1.51.1
|
|
|
|
|
|
|
|
|
30 |
huggingface-hub==0.11.1
|
|
|
|
|
31 |
idna==3.4
|
|
|
|
|
32 |
importlib-metadata==4.13.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
33 |
jiwer==2.5.1
|
34 |
jmespath==1.0.1
|
35 |
joblib==1.2.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
36 |
Levenshtein==0.20.2
|
37 |
librosa==0.9.2
|
|
|
38 |
llvmlite==0.39.1
|
|
|
|
|
|
|
39 |
Markdown==3.4.1
|
40 |
MarkupSafe==2.1.1
|
|
|
|
|
|
|
|
|
41 |
more-itertools==9.0.0
|
|
|
42 |
multidict==6.0.3
|
|
|
43 |
multiprocess==0.70.14
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
44 |
numba==0.56.4
|
|
|
45 |
numpy==1.23.5
|
|
|
|
|
|
|
|
|
|
|
46 |
oauthlib==3.2.2
|
|
|
|
|
|
|
47 |
packaging==20.9
|
48 |
pandas==1.5.2
|
|
|
|
|
|
|
|
|
|
|
49 |
pathos==0.3.0
|
50 |
pathtools==0.1.2
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
51 |
pooch==1.6.0
|
52 |
pox==0.3.2
|
53 |
ppft==1.7.6.6
|
|
|
54 |
promise==2.3
|
|
|
55 |
protobuf==3.20.3
|
56 |
protobuf3-to-dict==0.1.5
|
57 |
psutil==5.9.4
|
|
|
|
|
58 |
pyarrow==10.0.1
|
59 |
pyasn1==0.4.8
|
60 |
pyasn1-modules==0.2.8
|
|
|
61 |
pycparser==2.21
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
62 |
pyparsing==3.0.9
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
63 |
python-dateutil==2.8.2
|
|
|
|
|
64 |
pytz==2022.6
|
|
|
65 |
PyYAML==6.0
|
|
|
66 |
rapidfuzz==2.13.4
|
67 |
regex==2022.10.31
|
68 |
requests==2.28.1
|
69 |
requests-oauthlib==1.3.1
|
|
|
70 |
resampy==0.4.2
|
71 |
responses==0.18.0
|
72 |
rsa==4.9
|
73 |
s3transfer==0.6.0
|
74 |
sagemaker==2.121.1
|
75 |
schema==0.7.5
|
|
|
|
|
76 |
scikit-learn==1.2.0
|
77 |
scipy==1.9.3
|
|
|
|
|
|
|
78 |
sentry-sdk==1.11.1
|
|
|
79 |
setproctitle==1.3.2
|
80 |
shortuuid==1.0.11
|
|
|
81 |
six==1.16.0
|
82 |
smdebug-rulesconfig==1.0.1
|
83 |
smmap==5.0.0
|
|
|
|
|
84 |
soundfile==0.11.0
|
|
|
|
|
|
|
|
|
|
|
|
|
85 |
tensorboard==2.11.0
|
86 |
tensorboard-data-server==0.6.1
|
87 |
tensorboard-plugin-wit==1.8.1
|
|
|
|
|
|
|
|
|
|
|
|
|
88 |
threadpoolctl==3.1.0
|
|
|
|
|
89 |
tokenizers==0.13.2
|
90 |
-
|
91 |
-
|
|
|
|
|
|
|
|
|
92 |
tqdm==4.64.1
|
|
|
93 |
transformers @ git+https://github.com/huggingface/transformers@9a6c6ef97fa5df4b1fb8dbc9e8c10ee3a9ed7e2a
|
94 |
-
|
|
|
|
|
|
|
|
|
95 |
urllib3==1.26.13
|
|
|
|
|
|
|
96 |
wandb==0.13.6
|
|
|
|
|
|
|
97 |
Werkzeug==2.2.2
|
|
|
|
|
|
|
|
|
98 |
xxhash==3.1.0
|
99 |
yarl==1.8.2
|
100 |
-
zipp==3.11.0
|
|
|
|
1 |
absl-py==1.3.0
|
2 |
aiohttp==3.8.3
|
3 |
aiosignal==1.3.1
|
4 |
+
anyio==3.6.2
|
5 |
appdirs==1.4.4
|
6 |
+
argon2-cffi==21.3.0
|
7 |
+
argon2-cffi-bindings==21.2.0
|
8 |
+
astunparse==1.6.2
|
9 |
async-timeout==4.0.2
|
10 |
+
atomicwrites==1.1.5
|
11 |
attrs==22.1.0
|
12 |
audioread==3.0.0
|
13 |
+
Automat==0.8.0
|
14 |
+
Babel==2.10.3
|
15 |
+
backcall==0.1.0
|
16 |
+
beautifulsoup4==4.8.2
|
17 |
+
bleach==3.1.1
|
18 |
+
blinker==1.4
|
19 |
+
blosc==1.7.0
|
20 |
boto3==1.26.27
|
21 |
botocore==1.29.27
|
22 |
+
bottle==0.12.15
|
23 |
cachetools==5.2.0
|
24 |
+
caffe==1.0.0
|
25 |
certifi==2022.12.7
|
26 |
cffi==1.15.1
|
27 |
+
chardet==3.0.4
|
28 |
charset-normalizer==2.1.1
|
29 |
click==8.1.3
|
30 |
+
cloud-init==22.3.4
|
31 |
+
cloudpickle==1.3.0
|
32 |
+
colorama==0.4.3
|
33 |
+
command-not-found==0.3
|
34 |
+
configobj==5.0.6
|
35 |
+
constantly==15.1.0
|
36 |
contextlib2==21.6.0
|
37 |
+
cryptography==2.8
|
38 |
+
ctop==1.0.0
|
39 |
+
cycler==0.10.0
|
40 |
+
Cython==0.29.14
|
41 |
+
dask==2.8.1+dfsg
|
42 |
datasets @ git+https://github.com/huggingface/datasets@6338ded243ccb495b53b1996cba0847bdc250aba
|
43 |
+
dbus-python==1.2.16
|
44 |
decorator==5.1.1
|
45 |
+
defusedxml==0.6.0
|
46 |
dill==0.3.6
|
47 |
+
distlib==0.3.0
|
48 |
+
distro==1.4.0
|
49 |
+
distro-info===0.23ubuntu1
|
50 |
+
docker==4.1.0
|
51 |
docker-pycreds==0.4.0
|
52 |
+
entrypoints==0.3
|
53 |
+
et-xmlfile==1.0.1
|
54 |
evaluate==0.3.0
|
55 |
+
fastjsonschema==2.16.2
|
56 |
filelock==3.8.2
|
57 |
+
flake8==3.7.9
|
58 |
+
flatbuffers==1.12
|
59 |
+
fonttools==4.38.0
|
60 |
frozenlist==1.3.3
|
61 |
fsspec==2022.11.0
|
62 |
+
future==0.18.2
|
63 |
+
gast==0.4.0
|
64 |
gitdb==4.0.10
|
65 |
GitPython==3.1.29
|
66 |
+
Glances==3.1.3
|
67 |
google-auth==2.15.0
|
68 |
google-auth-oauthlib==0.4.6
|
69 |
google-pasta==0.2.0
|
70 |
grpcio==1.51.1
|
71 |
+
h5py==2.10.0
|
72 |
+
html5lib==1.0.1
|
73 |
+
htmlmin==0.1.12
|
74 |
+
httplib2==0.14.0
|
75 |
huggingface-hub==0.11.1
|
76 |
+
hyperlink==19.0.0
|
77 |
+
icdiff==1.9.5
|
78 |
idna==3.4
|
79 |
+
ImageHash==4.3.1
|
80 |
+
imageio==2.4.1
|
81 |
importlib-metadata==4.13.0
|
82 |
+
incremental==16.10.1
|
83 |
+
influxdb==5.2.0
|
84 |
+
iotop==0.6
|
85 |
+
ipykernel==5.2.0
|
86 |
+
ipython==7.13.0
|
87 |
+
ipython_genutils==0.2.0
|
88 |
+
ipywidgets==8.0.2
|
89 |
+
jdcal==1.0
|
90 |
+
jedi==0.15.2
|
91 |
+
Jinja2==3.1.2
|
92 |
jiwer==2.5.1
|
93 |
jmespath==1.0.1
|
94 |
joblib==1.2.0
|
95 |
+
json5==0.9.10
|
96 |
+
jsonpatch==1.22
|
97 |
+
jsonpointer==2.0
|
98 |
+
jsonschema==3.2.0
|
99 |
+
jupyter-console==6.0.0
|
100 |
+
jupyter-server==1.21.0
|
101 |
+
jupyter_client==7.4.4
|
102 |
+
jupyter_core==4.11.2
|
103 |
+
jupyterlab==3.5.0
|
104 |
+
jupyterlab-pygments==0.2.2
|
105 |
+
jupyterlab-widgets==3.0.3
|
106 |
+
jupyterlab_server==2.16.1
|
107 |
+
kaptan==0.5.10
|
108 |
+
keras==2.9.0
|
109 |
+
Keras-Preprocessing==1.1.2
|
110 |
+
keyring==18.0.1
|
111 |
+
kiwisolver==1.0.1
|
112 |
+
language-selector==0.1
|
113 |
+
launchpadlib==1.10.13
|
114 |
+
lazr.restfulclient==0.14.2
|
115 |
+
lazr.uri==1.0.3
|
116 |
Levenshtein==0.20.2
|
117 |
librosa==0.9.2
|
118 |
+
libtmux==0.8.2
|
119 |
llvmlite==0.39.1
|
120 |
+
locket==0.2.0
|
121 |
+
lxml==4.5.0
|
122 |
+
Mako==1.1.0
|
123 |
Markdown==3.4.1
|
124 |
MarkupSafe==2.1.1
|
125 |
+
matplotlib==3.5.3
|
126 |
+
mccabe==0.6.1
|
127 |
+
missingno==0.5.1
|
128 |
+
mistune==2.0.4
|
129 |
more-itertools==9.0.0
|
130 |
+
mpi4py==3.0.3
|
131 |
multidict==6.0.3
|
132 |
+
multimethod==1.9
|
133 |
multiprocess==0.70.14
|
134 |
+
nbclassic==0.4.7
|
135 |
+
nbclient==0.7.0
|
136 |
+
nbconvert==7.2.2
|
137 |
+
nbformat==5.7.0
|
138 |
+
nest-asyncio==1.5.6
|
139 |
+
netifaces==0.10.4
|
140 |
+
networkx==2.4
|
141 |
+
nose==1.3.7
|
142 |
+
notebook==6.0.3
|
143 |
+
notebook_shim==0.2.0
|
144 |
numba==0.56.4
|
145 |
+
numexpr==2.7.1
|
146 |
numpy==1.23.5
|
147 |
+
nvidia-cublas-cu11==11.10.3.66
|
148 |
+
nvidia-cuda-nvrtc-cu11==11.7.99
|
149 |
+
nvidia-cuda-runtime-cu11==11.7.99
|
150 |
+
nvidia-cudnn-cu11==8.5.0.96
|
151 |
+
nvidia-ml-py==7.352.0
|
152 |
oauthlib==3.2.2
|
153 |
+
olefile==0.46
|
154 |
+
openpyxl==3.0.3
|
155 |
+
opt-einsum==3.3.0
|
156 |
packaging==20.9
|
157 |
pandas==1.5.2
|
158 |
+
pandas-profiling==3.4.0
|
159 |
+
pandocfilters==1.4.2
|
160 |
+
parameterized==0.7.0
|
161 |
+
parso==0.5.2
|
162 |
+
partd==1.0.0
|
163 |
pathos==0.3.0
|
164 |
pathtools==0.1.2
|
165 |
+
patsy==0.5.3
|
166 |
+
pexpect==4.6.0
|
167 |
+
phik==0.12.2
|
168 |
+
pickleshare==0.7.5
|
169 |
+
Pillow==7.0.0
|
170 |
+
pluggy==0.13.0
|
171 |
+
ply==3.11
|
172 |
pooch==1.6.0
|
173 |
pox==0.3.2
|
174 |
ppft==1.7.6.6
|
175 |
+
prometheus-client==0.7.1
|
176 |
promise==2.3
|
177 |
+
prompt-toolkit==2.0.10
|
178 |
protobuf==3.20.3
|
179 |
protobuf3-to-dict==0.1.5
|
180 |
psutil==5.9.4
|
181 |
+
ptyprocess==0.7.0
|
182 |
+
py==1.8.1
|
183 |
pyarrow==10.0.1
|
184 |
pyasn1==0.4.8
|
185 |
pyasn1-modules==0.2.8
|
186 |
+
pycodestyle==2.5.0
|
187 |
pycparser==2.21
|
188 |
+
pycryptodomex==3.6.1
|
189 |
+
pycuda==2019.1.2
|
190 |
+
pydantic==1.10.2
|
191 |
+
pydot==1.4.1
|
192 |
+
pyflakes==2.1.1
|
193 |
+
Pygments==2.13.0
|
194 |
+
PyGObject==3.36.0
|
195 |
+
pygpu==0.7.6
|
196 |
+
PyHamcrest==1.9.0
|
197 |
+
pyinotify==0.9.6
|
198 |
+
PyJWT==1.7.1
|
199 |
+
pymacaroons==0.13.0
|
200 |
+
PyNaCl==1.3.0
|
201 |
+
pyOpenSSL==19.0.0
|
202 |
pyparsing==3.0.9
|
203 |
+
pyrsistent==0.15.5
|
204 |
+
pyserial==3.4
|
205 |
+
pysmi==0.3.2
|
206 |
+
pysnmp==4.4.6
|
207 |
+
pystache==0.5.4
|
208 |
+
pytest==4.6.9
|
209 |
+
python-apt==2.0.0+ubuntu0.20.4.8
|
210 |
python-dateutil==2.8.2
|
211 |
+
python-debian===0.1.36ubuntu1
|
212 |
+
pytools==2019.1.1
|
213 |
pytz==2022.6
|
214 |
+
PyWavelets==0.5.1
|
215 |
PyYAML==6.0
|
216 |
+
pyzmq==24.0.1
|
217 |
rapidfuzz==2.13.4
|
218 |
regex==2022.10.31
|
219 |
requests==2.28.1
|
220 |
requests-oauthlib==1.3.1
|
221 |
+
requests-unixsocket==0.2.0
|
222 |
resampy==0.4.2
|
223 |
responses==0.18.0
|
224 |
rsa==4.9
|
225 |
s3transfer==0.6.0
|
226 |
sagemaker==2.121.1
|
227 |
schema==0.7.5
|
228 |
+
scikit-cuda==0.5.3
|
229 |
+
scikit-image==0.16.2
|
230 |
scikit-learn==1.2.0
|
231 |
scipy==1.9.3
|
232 |
+
seaborn==0.12.1
|
233 |
+
SecretStorage==2.3.1
|
234 |
+
Send2Trash==1.8.0
|
235 |
sentry-sdk==1.11.1
|
236 |
+
service-identity==18.1.0
|
237 |
setproctitle==1.3.2
|
238 |
shortuuid==1.0.11
|
239 |
+
simplejson==3.16.0
|
240 |
six==1.16.0
|
241 |
smdebug-rulesconfig==1.0.1
|
242 |
smmap==5.0.0
|
243 |
+
sniffio==1.3.0
|
244 |
+
sos==4.4
|
245 |
soundfile==0.11.0
|
246 |
+
soupsieve==1.9.5
|
247 |
+
ssh-import-id==5.10
|
248 |
+
statsmodels==0.13.2
|
249 |
+
systemd-python==234
|
250 |
+
tables==3.6.1
|
251 |
+
tangled-up-in-unicode==0.2.0
|
252 |
tensorboard==2.11.0
|
253 |
tensorboard-data-server==0.6.1
|
254 |
tensorboard-plugin-wit==1.8.1
|
255 |
+
tensorflow-estimator==2.9.0
|
256 |
+
tensorflow-gpu==2.9.1
|
257 |
+
termcolor==1.1.0
|
258 |
+
terminado==0.17.0
|
259 |
+
testpath==0.4.4
|
260 |
+
Theano==1.0.4
|
261 |
threadpoolctl==3.1.0
|
262 |
+
tinycss2==1.2.1
|
263 |
+
tmuxp==1.5.4
|
264 |
tokenizers==0.13.2
|
265 |
+
tomli==2.0.1
|
266 |
+
toolz==0.9.0
|
267 |
+
torch==1.13.1
|
268 |
+
torchaudio==0.13.1
|
269 |
+
torchvision==0.13.1
|
270 |
+
tornado==6.2
|
271 |
tqdm==4.64.1
|
272 |
+
traitlets==5.5.0
|
273 |
transformers @ git+https://github.com/huggingface/transformers@9a6c6ef97fa5df4b1fb8dbc9e8c10ee3a9ed7e2a
|
274 |
+
Twisted==18.9.0
|
275 |
+
typing_extensions==4.4.0
|
276 |
+
ubuntu-advantage-tools==27.11.2
|
277 |
+
ufw==0.36
|
278 |
+
unattended-upgrades==0.1
|
279 |
urllib3==1.26.13
|
280 |
+
virtualenv==20.0.17
|
281 |
+
visions==0.7.5
|
282 |
+
wadllib==1.3.3
|
283 |
wandb==0.13.6
|
284 |
+
wcwidth==0.1.8
|
285 |
+
webencodings==0.5.1
|
286 |
+
websocket-client==0.53.0
|
287 |
Werkzeug==2.2.2
|
288 |
+
widgetsnbextension==4.0.3
|
289 |
+
wrapt==1.11.2
|
290 |
+
xlrd==1.1.0
|
291 |
+
xlwt==1.3.0
|
292 |
xxhash==3.1.0
|
293 |
yarl==1.8.2
|
294 |
+
zipp==3.11.0
|
295 |
+
zope.interface==4.7.1
|
test_finetuned_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 2.32,
|
3 |
-
"test_finetuned_loss": 1.
|
4 |
-
"test_finetuned_runtime":
|
5 |
-
"test_finetuned_samples_per_second": 4.
|
6 |
-
"test_finetuned_steps_per_second": 0.
|
7 |
-
"test_finetuned_wer":
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 2.32,
|
3 |
+
"test_finetuned_loss": 1.0840972661972046,
|
4 |
+
"test_finetuned_runtime": 169.6782,
|
5 |
+
"test_finetuned_samples_per_second": 4.473,
|
6 |
+
"test_finetuned_steps_per_second": 0.141,
|
7 |
+
"test_finetuned_wer": 172.4357697669787
|
8 |
}
|
test_pretrained_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"test_pretrained_loss": 1.723103642463684,
|
3 |
-
"test_pretrained_runtime":
|
4 |
-
"test_pretrained_samples_per_second":
|
5 |
-
"test_pretrained_steps_per_second": 0.
|
6 |
"test_pretrained_wer": 261.9265750514506
|
7 |
}
|
|
|
1 |
{
|
2 |
"test_pretrained_loss": 1.723103642463684,
|
3 |
+
"test_pretrained_runtime": 196.5873,
|
4 |
+
"test_pretrained_samples_per_second": 3.861,
|
5 |
+
"test_pretrained_steps_per_second": 0.122,
|
6 |
"test_pretrained_wer": 261.9265750514506
|
7 |
}
|
train_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 2.32,
|
3 |
-
"train_loss":
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples_per_second": 4.
|
6 |
-
"train_steps_per_second": 0.
|
7 |
}
|
|
|
1 |
{
|
2 |
"epoch": 2.32,
|
3 |
+
"train_loss": 1.0522634956453527,
|
4 |
+
"train_runtime": 1735.2585,
|
5 |
+
"train_samples_per_second": 4.131,
|
6 |
+
"train_steps_per_second": 0.065
|
7 |
}
|
trainer_state.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"best_metric":
|
3 |
"best_model_checkpoint": "./checkpoint-88",
|
4 |
"epoch": 2.3214285714285716,
|
5 |
"global_step": 112,
|
@@ -15,768 +15,768 @@
|
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.02,
|
18 |
-
"learning_rate":
|
19 |
"loss": 1.6564,
|
20 |
"step": 2
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.03,
|
24 |
-
"learning_rate":
|
25 |
"loss": 1.6518,
|
26 |
"step": 3
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.04,
|
30 |
-
"learning_rate":
|
31 |
-
"loss": 1.
|
32 |
"step": 4
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.04,
|
36 |
-
"learning_rate":
|
37 |
-
"loss": 1.
|
38 |
"step": 5
|
39 |
},
|
40 |
{
|
41 |
"epoch": 0.05,
|
42 |
-
"learning_rate":
|
43 |
-
"loss": 1.
|
44 |
"step": 6
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.06,
|
48 |
-
"learning_rate":
|
49 |
-
"loss": 1.
|
50 |
"step": 7
|
51 |
},
|
52 |
{
|
53 |
"epoch": 0.07,
|
54 |
-
"learning_rate":
|
55 |
-
"loss": 1.
|
56 |
"step": 8
|
57 |
},
|
58 |
{
|
59 |
"epoch": 0.08,
|
60 |
-
"learning_rate":
|
61 |
-
"loss": 1.
|
62 |
"step": 9
|
63 |
},
|
64 |
{
|
65 |
"epoch": 0.09,
|
66 |
-
"learning_rate":
|
67 |
-
"loss": 1.
|
68 |
"step": 10
|
69 |
},
|
70 |
{
|
71 |
"epoch": 0.1,
|
72 |
-
"learning_rate":
|
73 |
-
"loss": 1.
|
74 |
"step": 11
|
75 |
},
|
76 |
{
|
77 |
"epoch": 0.1,
|
78 |
-
"eval_loss": 1.
|
79 |
-
"eval_runtime":
|
80 |
-
"eval_samples_per_second":
|
81 |
-
"eval_steps_per_second": 0.
|
82 |
-
"eval_wer":
|
83 |
"step": 11
|
84 |
},
|
85 |
{
|
86 |
"epoch": 0.11,
|
87 |
-
"learning_rate":
|
88 |
-
"loss": 1.
|
89 |
"step": 12
|
90 |
},
|
91 |
{
|
92 |
"epoch": 0.12,
|
93 |
-
"learning_rate":
|
94 |
-
"loss": 1.
|
95 |
"step": 13
|
96 |
},
|
97 |
{
|
98 |
"epoch": 0.12,
|
99 |
-
"learning_rate":
|
100 |
-
"loss": 1.
|
101 |
"step": 14
|
102 |
},
|
103 |
{
|
104 |
"epoch": 0.13,
|
105 |
-
"learning_rate":
|
106 |
-
"loss": 1.
|
107 |
"step": 15
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.14,
|
111 |
-
"learning_rate":
|
112 |
-
"loss": 1.
|
113 |
"step": 16
|
114 |
},
|
115 |
{
|
116 |
"epoch": 0.15,
|
117 |
-
"learning_rate":
|
118 |
-
"loss": 1.
|
119 |
"step": 17
|
120 |
},
|
121 |
{
|
122 |
"epoch": 0.16,
|
123 |
-
"learning_rate":
|
124 |
-
"loss": 1.
|
125 |
"step": 18
|
126 |
},
|
127 |
{
|
128 |
"epoch": 0.17,
|
129 |
-
"learning_rate":
|
130 |
-
"loss": 1.
|
131 |
"step": 19
|
132 |
},
|
133 |
{
|
134 |
"epoch": 0.18,
|
135 |
-
"learning_rate":
|
136 |
-
"loss": 1.
|
137 |
"step": 20
|
138 |
},
|
139 |
{
|
140 |
"epoch": 0.19,
|
141 |
-
"learning_rate":
|
142 |
-
"loss": 1.
|
143 |
"step": 21
|
144 |
},
|
145 |
{
|
146 |
"epoch": 0.2,
|
147 |
-
"learning_rate":
|
148 |
-
"loss": 1.
|
149 |
"step": 22
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.2,
|
153 |
-
"eval_loss": 1.
|
154 |
-
"eval_runtime":
|
155 |
-
"eval_samples_per_second": 2.
|
156 |
-
"eval_steps_per_second": 0.
|
157 |
-
"eval_wer":
|
158 |
"step": 22
|
159 |
},
|
160 |
{
|
161 |
"epoch": 0.21,
|
162 |
-
"learning_rate":
|
163 |
-
"loss": 1.
|
164 |
"step": 23
|
165 |
},
|
166 |
{
|
167 |
"epoch": 0.21,
|
168 |
-
"learning_rate":
|
169 |
-
"loss": 1.
|
170 |
"step": 24
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.22,
|
174 |
-
"learning_rate":
|
175 |
-
"loss": 1.
|
176 |
"step": 25
|
177 |
},
|
178 |
{
|
179 |
"epoch": 0.23,
|
180 |
-
"learning_rate":
|
181 |
-
"loss": 1.
|
182 |
"step": 26
|
183 |
},
|
184 |
{
|
185 |
"epoch": 0.24,
|
186 |
-
"learning_rate":
|
187 |
-
"loss": 1.
|
188 |
"step": 27
|
189 |
},
|
190 |
{
|
191 |
"epoch": 0.25,
|
192 |
-
"learning_rate":
|
193 |
-
"loss": 1.
|
194 |
"step": 28
|
195 |
},
|
196 |
{
|
197 |
"epoch": 0.26,
|
198 |
-
"learning_rate":
|
199 |
-
"loss":
|
200 |
"step": 29
|
201 |
},
|
202 |
{
|
203 |
"epoch": 0.27,
|
204 |
-
"learning_rate":
|
205 |
-
"loss": 1.
|
206 |
"step": 30
|
207 |
},
|
208 |
{
|
209 |
"epoch": 0.28,
|
210 |
-
"learning_rate":
|
211 |
-
"loss": 1.
|
212 |
"step": 31
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.29,
|
216 |
-
"learning_rate":
|
217 |
-
"loss": 1.
|
218 |
"step": 32
|
219 |
},
|
220 |
{
|
221 |
"epoch": 0.29,
|
222 |
-
"learning_rate":
|
223 |
-
"loss": 1.
|
224 |
"step": 33
|
225 |
},
|
226 |
{
|
227 |
"epoch": 0.29,
|
228 |
-
"eval_loss": 1.
|
229 |
-
"eval_runtime":
|
230 |
-
"eval_samples_per_second":
|
231 |
-
"eval_steps_per_second": 0.
|
232 |
-
"eval_wer":
|
233 |
"step": 33
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.3,
|
237 |
-
"learning_rate":
|
238 |
-
"loss": 1.
|
239 |
"step": 34
|
240 |
},
|
241 |
{
|
242 |
"epoch": 0.31,
|
243 |
-
"learning_rate":
|
244 |
-
"loss": 1.
|
245 |
"step": 35
|
246 |
},
|
247 |
{
|
248 |
"epoch": 0.32,
|
249 |
-
"learning_rate":
|
250 |
-
"loss": 1.
|
251 |
"step": 36
|
252 |
},
|
253 |
{
|
254 |
"epoch": 0.33,
|
255 |
-
"learning_rate":
|
256 |
-
"loss": 1.
|
257 |
"step": 37
|
258 |
},
|
259 |
{
|
260 |
"epoch": 0.34,
|
261 |
-
"learning_rate":
|
262 |
-
"loss": 1.
|
263 |
"step": 38
|
264 |
},
|
265 |
{
|
266 |
"epoch": 1.01,
|
267 |
-
"learning_rate":
|
268 |
-
"loss":
|
269 |
"step": 39
|
270 |
},
|
271 |
{
|
272 |
"epoch": 1.02,
|
273 |
-
"learning_rate":
|
274 |
-
"loss": 1.
|
275 |
"step": 40
|
276 |
},
|
277 |
{
|
278 |
"epoch": 1.03,
|
279 |
-
"learning_rate":
|
280 |
-
"loss":
|
281 |
"step": 41
|
282 |
},
|
283 |
{
|
284 |
"epoch": 1.04,
|
285 |
-
"learning_rate":
|
286 |
-
"loss":
|
287 |
"step": 42
|
288 |
},
|
289 |
{
|
290 |
"epoch": 1.04,
|
291 |
-
"learning_rate":
|
292 |
-
"loss":
|
293 |
"step": 43
|
294 |
},
|
295 |
{
|
296 |
"epoch": 1.05,
|
297 |
-
"learning_rate":
|
298 |
-
"loss":
|
299 |
"step": 44
|
300 |
},
|
301 |
{
|
302 |
"epoch": 1.05,
|
303 |
-
"eval_loss": 1.
|
304 |
-
"eval_runtime":
|
305 |
-
"eval_samples_per_second": 3.
|
306 |
-
"eval_steps_per_second": 0.
|
307 |
-
"eval_wer":
|
308 |
"step": 44
|
309 |
},
|
310 |
{
|
311 |
"epoch": 1.06,
|
312 |
-
"learning_rate":
|
313 |
-
"loss":
|
314 |
"step": 45
|
315 |
},
|
316 |
{
|
317 |
"epoch": 1.07,
|
318 |
-
"learning_rate":
|
319 |
-
"loss": 0.
|
320 |
"step": 46
|
321 |
},
|
322 |
{
|
323 |
"epoch": 1.08,
|
324 |
-
"learning_rate":
|
325 |
-
"loss": 0.
|
326 |
"step": 47
|
327 |
},
|
328 |
{
|
329 |
"epoch": 1.09,
|
330 |
-
"learning_rate":
|
331 |
-
"loss":
|
332 |
"step": 48
|
333 |
},
|
334 |
{
|
335 |
"epoch": 1.1,
|
336 |
-
"learning_rate":
|
337 |
-
"loss": 0.
|
338 |
"step": 49
|
339 |
},
|
340 |
{
|
341 |
"epoch": 1.11,
|
342 |
-
"learning_rate":
|
343 |
-
"loss": 0.
|
344 |
"step": 50
|
345 |
},
|
346 |
{
|
347 |
"epoch": 1.12,
|
348 |
-
"learning_rate":
|
349 |
-
"loss": 0.
|
350 |
"step": 51
|
351 |
},
|
352 |
{
|
353 |
"epoch": 1.12,
|
354 |
-
"learning_rate":
|
355 |
-
"loss":
|
356 |
"step": 52
|
357 |
},
|
358 |
{
|
359 |
"epoch": 1.13,
|
360 |
-
"learning_rate":
|
361 |
-
"loss":
|
362 |
"step": 53
|
363 |
},
|
364 |
{
|
365 |
"epoch": 1.14,
|
366 |
-
"learning_rate":
|
367 |
-
"loss": 0.
|
368 |
"step": 54
|
369 |
},
|
370 |
{
|
371 |
"epoch": 1.15,
|
372 |
-
"learning_rate":
|
373 |
-
"loss": 0.
|
374 |
"step": 55
|
375 |
},
|
376 |
{
|
377 |
"epoch": 1.15,
|
378 |
-
"eval_loss": 1.
|
379 |
-
"eval_runtime":
|
380 |
-
"eval_samples_per_second":
|
381 |
-
"eval_steps_per_second": 0.
|
382 |
-
"eval_wer":
|
383 |
"step": 55
|
384 |
},
|
385 |
{
|
386 |
"epoch": 1.16,
|
387 |
-
"learning_rate":
|
388 |
-
"loss": 0.
|
389 |
"step": 56
|
390 |
},
|
391 |
{
|
392 |
"epoch": 1.17,
|
393 |
-
"learning_rate":
|
394 |
-
"loss": 0.
|
395 |
"step": 57
|
396 |
},
|
397 |
{
|
398 |
"epoch": 1.18,
|
399 |
-
"learning_rate":
|
400 |
-
"loss": 0.
|
401 |
"step": 58
|
402 |
},
|
403 |
{
|
404 |
"epoch": 1.19,
|
405 |
-
"learning_rate":
|
406 |
-
"loss": 0.
|
407 |
"step": 59
|
408 |
},
|
409 |
{
|
410 |
"epoch": 1.2,
|
411 |
-
"learning_rate": 5.
|
412 |
-
"loss": 0.
|
413 |
"step": 60
|
414 |
},
|
415 |
{
|
416 |
"epoch": 1.21,
|
417 |
-
"learning_rate":
|
418 |
-
"loss": 0.
|
419 |
"step": 61
|
420 |
},
|
421 |
{
|
422 |
"epoch": 1.21,
|
423 |
-
"learning_rate":
|
424 |
-
"loss": 0.
|
425 |
"step": 62
|
426 |
},
|
427 |
{
|
428 |
"epoch": 1.22,
|
429 |
-
"learning_rate":
|
430 |
-
"loss": 0.
|
431 |
"step": 63
|
432 |
},
|
433 |
{
|
434 |
"epoch": 1.23,
|
435 |
-
"learning_rate":
|
436 |
-
"loss": 0.
|
437 |
"step": 64
|
438 |
},
|
439 |
{
|
440 |
"epoch": 1.24,
|
441 |
-
"learning_rate":
|
442 |
-
"loss": 0.
|
443 |
"step": 65
|
444 |
},
|
445 |
{
|
446 |
"epoch": 1.25,
|
447 |
-
"learning_rate":
|
448 |
-
"loss": 0.
|
449 |
"step": 66
|
450 |
},
|
451 |
{
|
452 |
"epoch": 1.25,
|
453 |
-
"eval_loss": 1.
|
454 |
-
"eval_runtime":
|
455 |
-
"eval_samples_per_second": 3.
|
456 |
-
"eval_steps_per_second": 0.
|
457 |
-
"eval_wer":
|
458 |
"step": 66
|
459 |
},
|
460 |
{
|
461 |
"epoch": 1.26,
|
462 |
-
"learning_rate":
|
463 |
-
"loss": 0.
|
464 |
"step": 67
|
465 |
},
|
466 |
{
|
467 |
"epoch": 1.27,
|
468 |
-
"learning_rate":
|
469 |
-
"loss": 0.
|
470 |
"step": 68
|
471 |
},
|
472 |
{
|
473 |
"epoch": 1.28,
|
474 |
-
"learning_rate": 4.
|
475 |
-
"loss": 0.
|
476 |
"step": 69
|
477 |
},
|
478 |
{
|
479 |
"epoch": 1.29,
|
480 |
-
"learning_rate": 4.
|
481 |
-
"loss": 0.
|
482 |
"step": 70
|
483 |
},
|
484 |
{
|
485 |
"epoch": 1.29,
|
486 |
-
"learning_rate": 4.
|
487 |
-
"loss": 0.
|
488 |
"step": 71
|
489 |
},
|
490 |
{
|
491 |
"epoch": 1.3,
|
492 |
-
"learning_rate":
|
493 |
-
"loss": 0.
|
494 |
"step": 72
|
495 |
},
|
496 |
{
|
497 |
"epoch": 1.31,
|
498 |
-
"learning_rate":
|
499 |
-
"loss": 0.
|
500 |
"step": 73
|
501 |
},
|
502 |
{
|
503 |
"epoch": 1.32,
|
504 |
-
"learning_rate":
|
505 |
-
"loss": 0.
|
506 |
"step": 74
|
507 |
},
|
508 |
{
|
509 |
"epoch": 1.33,
|
510 |
-
"learning_rate":
|
511 |
-
"loss": 0.
|
512 |
"step": 75
|
513 |
},
|
514 |
{
|
515 |
"epoch": 1.34,
|
516 |
-
"learning_rate":
|
517 |
-
"loss": 0.
|
518 |
"step": 76
|
519 |
},
|
520 |
{
|
521 |
"epoch": 2.01,
|
522 |
-
"learning_rate":
|
523 |
-
"loss": 0.
|
524 |
"step": 77
|
525 |
},
|
526 |
{
|
527 |
"epoch": 2.01,
|
528 |
-
"eval_loss": 1.
|
529 |
-
"eval_runtime":
|
530 |
-
"eval_samples_per_second": 3.
|
531 |
-
"eval_steps_per_second": 0.
|
532 |
-
"eval_wer":
|
533 |
"step": 77
|
534 |
},
|
535 |
{
|
536 |
"epoch": 2.02,
|
537 |
-
"learning_rate": 3.
|
538 |
-
"loss": 0.
|
539 |
"step": 78
|
540 |
},
|
541 |
{
|
542 |
"epoch": 2.03,
|
543 |
-
"learning_rate": 3.
|
544 |
-
"loss": 0.
|
545 |
"step": 79
|
546 |
},
|
547 |
{
|
548 |
"epoch": 2.04,
|
549 |
-
"learning_rate": 3.
|
550 |
-
"loss": 0.
|
551 |
"step": 80
|
552 |
},
|
553 |
{
|
554 |
"epoch": 2.04,
|
555 |
-
"learning_rate": 3.
|
556 |
-
"loss": 0.
|
557 |
"step": 81
|
558 |
},
|
559 |
{
|
560 |
"epoch": 2.05,
|
561 |
-
"learning_rate":
|
562 |
-
"loss": 0.
|
563 |
"step": 82
|
564 |
},
|
565 |
{
|
566 |
"epoch": 2.06,
|
567 |
-
"learning_rate":
|
568 |
-
"loss": 0.
|
569 |
"step": 83
|
570 |
},
|
571 |
{
|
572 |
"epoch": 2.07,
|
573 |
-
"learning_rate":
|
574 |
-
"loss": 0.
|
575 |
"step": 84
|
576 |
},
|
577 |
{
|
578 |
"epoch": 2.08,
|
579 |
-
"learning_rate":
|
580 |
-
"loss": 0.
|
581 |
"step": 85
|
582 |
},
|
583 |
{
|
584 |
"epoch": 2.09,
|
585 |
-
"learning_rate":
|
586 |
-
"loss": 0.
|
587 |
"step": 86
|
588 |
},
|
589 |
{
|
590 |
"epoch": 2.1,
|
591 |
-
"learning_rate": 2.
|
592 |
-
"loss": 0.
|
593 |
"step": 87
|
594 |
},
|
595 |
{
|
596 |
"epoch": 2.11,
|
597 |
-
"learning_rate": 2.
|
598 |
-
"loss": 0.
|
599 |
"step": 88
|
600 |
},
|
601 |
{
|
602 |
"epoch": 2.11,
|
603 |
-
"eval_loss": 1.
|
604 |
-
"eval_runtime":
|
605 |
-
"eval_samples_per_second":
|
606 |
-
"eval_steps_per_second": 0.
|
607 |
-
"eval_wer":
|
608 |
"step": 88
|
609 |
},
|
610 |
{
|
611 |
"epoch": 2.12,
|
612 |
-
"learning_rate": 2.
|
613 |
-
"loss": 0.
|
614 |
"step": 89
|
615 |
},
|
616 |
{
|
617 |
"epoch": 2.12,
|
618 |
-
"learning_rate": 2.
|
619 |
-
"loss": 0.
|
620 |
"step": 90
|
621 |
},
|
622 |
{
|
623 |
"epoch": 2.13,
|
624 |
-
"learning_rate": 2.
|
625 |
-
"loss": 0.
|
626 |
"step": 91
|
627 |
},
|
628 |
{
|
629 |
"epoch": 2.14,
|
630 |
-
"learning_rate": 2.
|
631 |
-
"loss": 0.
|
632 |
"step": 92
|
633 |
},
|
634 |
{
|
635 |
"epoch": 2.15,
|
636 |
-
"learning_rate":
|
637 |
-
"loss": 0.
|
638 |
"step": 93
|
639 |
},
|
640 |
{
|
641 |
"epoch": 2.16,
|
642 |
-
"learning_rate":
|
643 |
-
"loss": 0.
|
644 |
"step": 94
|
645 |
},
|
646 |
{
|
647 |
"epoch": 2.17,
|
648 |
-
"learning_rate":
|
649 |
-
"loss": 0.
|
650 |
"step": 95
|
651 |
},
|
652 |
{
|
653 |
"epoch": 2.18,
|
654 |
-
"learning_rate": 1.
|
655 |
-
"loss": 0.
|
656 |
"step": 96
|
657 |
},
|
658 |
{
|
659 |
"epoch": 2.19,
|
660 |
-
"learning_rate": 1.
|
661 |
-
"loss": 0.
|
662 |
"step": 97
|
663 |
},
|
664 |
{
|
665 |
"epoch": 2.2,
|
666 |
-
"learning_rate": 1.
|
667 |
-
"loss": 0.
|
668 |
"step": 98
|
669 |
},
|
670 |
{
|
671 |
"epoch": 2.21,
|
672 |
-
"learning_rate": 1.
|
673 |
-
"loss": 0.
|
674 |
"step": 99
|
675 |
},
|
676 |
{
|
677 |
"epoch": 2.21,
|
678 |
-
"eval_loss": 1.
|
679 |
-
"eval_runtime":
|
680 |
-
"eval_samples_per_second": 3.
|
681 |
-
"eval_steps_per_second": 0.
|
682 |
-
"eval_wer":
|
683 |
"step": 99
|
684 |
},
|
685 |
{
|
686 |
"epoch": 2.21,
|
687 |
-
"learning_rate": 1.
|
688 |
-
"loss": 0.
|
689 |
"step": 100
|
690 |
},
|
691 |
{
|
692 |
"epoch": 2.22,
|
693 |
-
"learning_rate": 1.
|
694 |
-
"loss": 0.
|
695 |
"step": 101
|
696 |
},
|
697 |
{
|
698 |
"epoch": 2.23,
|
699 |
-
"learning_rate": 1.
|
700 |
-
"loss": 0.
|
701 |
"step": 102
|
702 |
},
|
703 |
{
|
704 |
"epoch": 2.24,
|
705 |
-
"learning_rate":
|
706 |
-
"loss": 0.
|
707 |
"step": 103
|
708 |
},
|
709 |
{
|
710 |
"epoch": 2.25,
|
711 |
-
"learning_rate":
|
712 |
-
"loss": 0.
|
713 |
"step": 104
|
714 |
},
|
715 |
{
|
716 |
"epoch": 2.26,
|
717 |
-
"learning_rate":
|
718 |
-
"loss": 0.
|
719 |
"step": 105
|
720 |
},
|
721 |
{
|
722 |
"epoch": 2.27,
|
723 |
-
"learning_rate":
|
724 |
-
"loss": 0.
|
725 |
"step": 106
|
726 |
},
|
727 |
{
|
728 |
"epoch": 2.28,
|
729 |
-
"learning_rate":
|
730 |
-
"loss": 0.
|
731 |
"step": 107
|
732 |
},
|
733 |
{
|
734 |
"epoch": 2.29,
|
735 |
-
"learning_rate":
|
736 |
-
"loss": 0.
|
737 |
"step": 108
|
738 |
},
|
739 |
{
|
740 |
"epoch": 2.29,
|
741 |
-
"learning_rate":
|
742 |
-
"loss": 0.
|
743 |
"step": 109
|
744 |
},
|
745 |
{
|
746 |
"epoch": 2.3,
|
747 |
-
"learning_rate":
|
748 |
-
"loss": 0.
|
749 |
"step": 110
|
750 |
},
|
751 |
{
|
752 |
"epoch": 2.3,
|
753 |
-
"eval_loss": 1.
|
754 |
-
"eval_runtime":
|
755 |
-
"eval_samples_per_second": 3.
|
756 |
-
"eval_steps_per_second": 0.
|
757 |
-
"eval_wer":
|
758 |
"step": 110
|
759 |
},
|
760 |
{
|
761 |
"epoch": 2.31,
|
762 |
-
"learning_rate":
|
763 |
-
"loss": 0.
|
764 |
"step": 111
|
765 |
},
|
766 |
{
|
767 |
"epoch": 2.32,
|
768 |
-
"learning_rate":
|
769 |
-
"loss": 0.
|
770 |
"step": 112
|
771 |
},
|
772 |
{
|
773 |
"epoch": 2.32,
|
774 |
"step": 112,
|
775 |
"total_flos": 1.7415399333888e+17,
|
776 |
-
"train_loss":
|
777 |
-
"train_runtime":
|
778 |
-
"train_samples_per_second": 4.
|
779 |
-
"train_steps_per_second": 0.
|
780 |
}
|
781 |
],
|
782 |
"max_steps": 112,
|
|
|
1 |
{
|
2 |
+
"best_metric": 161.45617116397892,
|
3 |
"best_model_checkpoint": "./checkpoint-88",
|
4 |
"epoch": 2.3214285714285716,
|
5 |
"global_step": 112,
|
|
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.02,
|
18 |
+
"learning_rate": 2.2058823529411765e-07,
|
19 |
"loss": 1.6564,
|
20 |
"step": 2
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.03,
|
24 |
+
"learning_rate": 4.411764705882353e-07,
|
25 |
"loss": 1.6518,
|
26 |
"step": 3
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.04,
|
30 |
+
"learning_rate": 6.61764705882353e-07,
|
31 |
+
"loss": 1.6237,
|
32 |
"step": 4
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.04,
|
36 |
+
"learning_rate": 8.823529411764706e-07,
|
37 |
+
"loss": 1.7141,
|
38 |
"step": 5
|
39 |
},
|
40 |
{
|
41 |
"epoch": 0.05,
|
42 |
+
"learning_rate": 1.1029411764705884e-06,
|
43 |
+
"loss": 1.655,
|
44 |
"step": 6
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.06,
|
48 |
+
"learning_rate": 1.323529411764706e-06,
|
49 |
+
"loss": 1.5904,
|
50 |
"step": 7
|
51 |
},
|
52 |
{
|
53 |
"epoch": 0.07,
|
54 |
+
"learning_rate": 1.5441176470588234e-06,
|
55 |
+
"loss": 1.6232,
|
56 |
"step": 8
|
57 |
},
|
58 |
{
|
59 |
"epoch": 0.08,
|
60 |
+
"learning_rate": 1.7647058823529412e-06,
|
61 |
+
"loss": 1.6403,
|
62 |
"step": 9
|
63 |
},
|
64 |
{
|
65 |
"epoch": 0.09,
|
66 |
+
"learning_rate": 1.985294117647059e-06,
|
67 |
+
"loss": 1.6065,
|
68 |
"step": 10
|
69 |
},
|
70 |
{
|
71 |
"epoch": 0.1,
|
72 |
+
"learning_rate": 2.2058823529411767e-06,
|
73 |
+
"loss": 1.5947,
|
74 |
"step": 11
|
75 |
},
|
76 |
{
|
77 |
"epoch": 0.1,
|
78 |
+
"eval_loss": 1.629066824913025,
|
79 |
+
"eval_runtime": 125.637,
|
80 |
+
"eval_samples_per_second": 2.627,
|
81 |
+
"eval_steps_per_second": 0.088,
|
82 |
+
"eval_wer": 227.94188088775348,
|
83 |
"step": 11
|
84 |
},
|
85 |
{
|
86 |
"epoch": 0.11,
|
87 |
+
"learning_rate": 2.4264705882352943e-06,
|
88 |
+
"loss": 1.52,
|
89 |
"step": 12
|
90 |
},
|
91 |
{
|
92 |
"epoch": 0.12,
|
93 |
+
"learning_rate": 2.647058823529412e-06,
|
94 |
+
"loss": 1.4456,
|
95 |
"step": 13
|
96 |
},
|
97 |
{
|
98 |
"epoch": 0.12,
|
99 |
+
"learning_rate": 2.867647058823529e-06,
|
100 |
+
"loss": 1.58,
|
101 |
"step": 14
|
102 |
},
|
103 |
{
|
104 |
"epoch": 0.13,
|
105 |
+
"learning_rate": 3.088235294117647e-06,
|
106 |
+
"loss": 1.5958,
|
107 |
"step": 15
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.14,
|
111 |
+
"learning_rate": 3.308823529411765e-06,
|
112 |
+
"loss": 1.4695,
|
113 |
"step": 16
|
114 |
},
|
115 |
{
|
116 |
"epoch": 0.15,
|
117 |
+
"learning_rate": 3.5294117647058825e-06,
|
118 |
+
"loss": 1.4718,
|
119 |
"step": 17
|
120 |
},
|
121 |
{
|
122 |
"epoch": 0.16,
|
123 |
+
"learning_rate": 3.75e-06,
|
124 |
+
"loss": 1.4406,
|
125 |
"step": 18
|
126 |
},
|
127 |
{
|
128 |
"epoch": 0.17,
|
129 |
+
"learning_rate": 3.970588235294118e-06,
|
130 |
+
"loss": 1.4339,
|
131 |
"step": 19
|
132 |
},
|
133 |
{
|
134 |
"epoch": 0.18,
|
135 |
+
"learning_rate": 4.191176470588236e-06,
|
136 |
+
"loss": 1.313,
|
137 |
"step": 20
|
138 |
},
|
139 |
{
|
140 |
"epoch": 0.19,
|
141 |
+
"learning_rate": 4.411764705882353e-06,
|
142 |
+
"loss": 1.2825,
|
143 |
"step": 21
|
144 |
},
|
145 |
{
|
146 |
"epoch": 0.2,
|
147 |
+
"learning_rate": 4.632352941176471e-06,
|
148 |
+
"loss": 1.3194,
|
149 |
"step": 22
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.2,
|
153 |
+
"eval_loss": 1.460469126701355,
|
154 |
+
"eval_runtime": 118.4642,
|
155 |
+
"eval_samples_per_second": 2.786,
|
156 |
+
"eval_steps_per_second": 0.093,
|
157 |
+
"eval_wer": 235.94124221619032,
|
158 |
"step": 22
|
159 |
},
|
160 |
{
|
161 |
"epoch": 0.21,
|
162 |
+
"learning_rate": 4.852941176470589e-06,
|
163 |
+
"loss": 1.2301,
|
164 |
"step": 23
|
165 |
},
|
166 |
{
|
167 |
"epoch": 0.21,
|
168 |
+
"learning_rate": 5.073529411764706e-06,
|
169 |
+
"loss": 1.3231,
|
170 |
"step": 24
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.22,
|
174 |
+
"learning_rate": 5.294117647058824e-06,
|
175 |
+
"loss": 1.2689,
|
176 |
"step": 25
|
177 |
},
|
178 |
{
|
179 |
"epoch": 0.23,
|
180 |
+
"learning_rate": 5.5147058823529415e-06,
|
181 |
+
"loss": 1.2768,
|
182 |
"step": 26
|
183 |
},
|
184 |
{
|
185 |
"epoch": 0.24,
|
186 |
+
"learning_rate": 5.735294117647058e-06,
|
187 |
+
"loss": 1.2927,
|
188 |
"step": 27
|
189 |
},
|
190 |
{
|
191 |
"epoch": 0.25,
|
192 |
+
"learning_rate": 5.955882352941176e-06,
|
193 |
+
"loss": 1.3419,
|
194 |
"step": 28
|
195 |
},
|
196 |
{
|
197 |
"epoch": 0.26,
|
198 |
+
"learning_rate": 6.176470588235294e-06,
|
199 |
+
"loss": 1.141,
|
200 |
"step": 29
|
201 |
},
|
202 |
{
|
203 |
"epoch": 0.27,
|
204 |
+
"learning_rate": 6.397058823529412e-06,
|
205 |
+
"loss": 1.2907,
|
206 |
"step": 30
|
207 |
},
|
208 |
{
|
209 |
"epoch": 0.28,
|
210 |
+
"learning_rate": 6.61764705882353e-06,
|
211 |
+
"loss": 1.2248,
|
212 |
"step": 31
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.29,
|
216 |
+
"learning_rate": 6.838235294117647e-06,
|
217 |
+
"loss": 1.149,
|
218 |
"step": 32
|
219 |
},
|
220 |
{
|
221 |
"epoch": 0.29,
|
222 |
+
"learning_rate": 7.058823529411765e-06,
|
223 |
+
"loss": 1.2636,
|
224 |
"step": 33
|
225 |
},
|
226 |
{
|
227 |
"epoch": 0.29,
|
228 |
+
"eval_loss": 1.3149287700653076,
|
229 |
+
"eval_runtime": 115.745,
|
230 |
+
"eval_samples_per_second": 2.851,
|
231 |
+
"eval_steps_per_second": 0.095,
|
232 |
+
"eval_wer": 177.19942519559316,
|
233 |
"step": 33
|
234 |
},
|
235 |
{
|
236 |
"epoch": 0.3,
|
237 |
+
"learning_rate": 7.2794117647058826e-06,
|
238 |
+
"loss": 1.2351,
|
239 |
"step": 34
|
240 |
},
|
241 |
{
|
242 |
"epoch": 0.31,
|
243 |
+
"learning_rate": 7.5e-06,
|
244 |
+
"loss": 1.2055,
|
245 |
"step": 35
|
246 |
},
|
247 |
{
|
248 |
"epoch": 0.32,
|
249 |
+
"learning_rate": 7.403846153846155e-06,
|
250 |
+
"loss": 1.1864,
|
251 |
"step": 36
|
252 |
},
|
253 |
{
|
254 |
"epoch": 0.33,
|
255 |
+
"learning_rate": 7.307692307692308e-06,
|
256 |
+
"loss": 1.148,
|
257 |
"step": 37
|
258 |
},
|
259 |
{
|
260 |
"epoch": 0.34,
|
261 |
+
"learning_rate": 7.211538461538462e-06,
|
262 |
+
"loss": 1.1505,
|
263 |
"step": 38
|
264 |
},
|
265 |
{
|
266 |
"epoch": 1.01,
|
267 |
+
"learning_rate": 7.115384615384615e-06,
|
268 |
+
"loss": 1.0859,
|
269 |
"step": 39
|
270 |
},
|
271 |
{
|
272 |
"epoch": 1.02,
|
273 |
+
"learning_rate": 7.01923076923077e-06,
|
274 |
+
"loss": 1.119,
|
275 |
"step": 40
|
276 |
},
|
277 |
{
|
278 |
"epoch": 1.03,
|
279 |
+
"learning_rate": 6.923076923076923e-06,
|
280 |
+
"loss": 1.0238,
|
281 |
"step": 41
|
282 |
},
|
283 |
{
|
284 |
"epoch": 1.04,
|
285 |
+
"learning_rate": 6.826923076923077e-06,
|
286 |
+
"loss": 1.0468,
|
287 |
"step": 42
|
288 |
},
|
289 |
{
|
290 |
"epoch": 1.04,
|
291 |
+
"learning_rate": 6.730769230769231e-06,
|
292 |
+
"loss": 1.061,
|
293 |
"step": 43
|
294 |
},
|
295 |
{
|
296 |
"epoch": 1.05,
|
297 |
+
"learning_rate": 6.6346153846153846e-06,
|
298 |
+
"loss": 1.0238,
|
299 |
"step": 44
|
300 |
},
|
301 |
{
|
302 |
"epoch": 1.05,
|
303 |
+
"eval_loss": 1.1836069822311401,
|
304 |
+
"eval_runtime": 109.1507,
|
305 |
+
"eval_samples_per_second": 3.023,
|
306 |
+
"eval_steps_per_second": 0.101,
|
307 |
+
"eval_wer": 199.80839853105542,
|
308 |
"step": 44
|
309 |
},
|
310 |
{
|
311 |
"epoch": 1.06,
|
312 |
+
"learning_rate": 6.538461538461539e-06,
|
313 |
+
"loss": 1.0016,
|
314 |
"step": 45
|
315 |
},
|
316 |
{
|
317 |
"epoch": 1.07,
|
318 |
+
"learning_rate": 6.442307692307692e-06,
|
319 |
+
"loss": 0.9635,
|
320 |
"step": 46
|
321 |
},
|
322 |
{
|
323 |
"epoch": 1.08,
|
324 |
+
"learning_rate": 6.3461538461538466e-06,
|
325 |
+
"loss": 0.9953,
|
326 |
"step": 47
|
327 |
},
|
328 |
{
|
329 |
"epoch": 1.09,
|
330 |
+
"learning_rate": 6.25e-06,
|
331 |
+
"loss": 1.0061,
|
332 |
"step": 48
|
333 |
},
|
334 |
{
|
335 |
"epoch": 1.1,
|
336 |
+
"learning_rate": 6.153846153846154e-06,
|
337 |
+
"loss": 0.9933,
|
338 |
"step": 49
|
339 |
},
|
340 |
{
|
341 |
"epoch": 1.11,
|
342 |
+
"learning_rate": 6.057692307692308e-06,
|
343 |
+
"loss": 0.9479,
|
344 |
"step": 50
|
345 |
},
|
346 |
{
|
347 |
"epoch": 1.12,
|
348 |
+
"learning_rate": 5.9615384615384615e-06,
|
349 |
+
"loss": 0.9132,
|
350 |
"step": 51
|
351 |
},
|
352 |
{
|
353 |
"epoch": 1.12,
|
354 |
+
"learning_rate": 5.865384615384615e-06,
|
355 |
+
"loss": 1.0232,
|
356 |
"step": 52
|
357 |
},
|
358 |
{
|
359 |
"epoch": 1.13,
|
360 |
+
"learning_rate": 5.76923076923077e-06,
|
361 |
+
"loss": 1.0153,
|
362 |
"step": 53
|
363 |
},
|
364 |
{
|
365 |
"epoch": 1.14,
|
366 |
+
"learning_rate": 5.673076923076923e-06,
|
367 |
+
"loss": 0.9548,
|
368 |
"step": 54
|
369 |
},
|
370 |
{
|
371 |
"epoch": 1.15,
|
372 |
+
"learning_rate": 5.576923076923077e-06,
|
373 |
+
"loss": 0.9306,
|
374 |
"step": 55
|
375 |
},
|
376 |
{
|
377 |
"epoch": 1.15,
|
378 |
+
"eval_loss": 1.1363615989685059,
|
379 |
+
"eval_runtime": 115.8861,
|
380 |
+
"eval_samples_per_second": 2.848,
|
381 |
+
"eval_steps_per_second": 0.095,
|
382 |
+
"eval_wer": 210.21874501037843,
|
383 |
"step": 55
|
384 |
},
|
385 |
{
|
386 |
"epoch": 1.16,
|
387 |
+
"learning_rate": 5.480769230769231e-06,
|
388 |
+
"loss": 0.9088,
|
389 |
"step": 56
|
390 |
},
|
391 |
{
|
392 |
"epoch": 1.17,
|
393 |
+
"learning_rate": 5.384615384615385e-06,
|
394 |
+
"loss": 0.8902,
|
395 |
"step": 57
|
396 |
},
|
397 |
{
|
398 |
"epoch": 1.18,
|
399 |
+
"learning_rate": 5.288461538461539e-06,
|
400 |
+
"loss": 0.861,
|
401 |
"step": 58
|
402 |
},
|
403 |
{
|
404 |
"epoch": 1.19,
|
405 |
+
"learning_rate": 5.192307692307692e-06,
|
406 |
+
"loss": 0.8047,
|
407 |
"step": 59
|
408 |
},
|
409 |
{
|
410 |
"epoch": 1.2,
|
411 |
+
"learning_rate": 5.096153846153847e-06,
|
412 |
+
"loss": 0.8459,
|
413 |
"step": 60
|
414 |
},
|
415 |
{
|
416 |
"epoch": 1.21,
|
417 |
+
"learning_rate": 4.9999999999999996e-06,
|
418 |
+
"loss": 0.8103,
|
419 |
"step": 61
|
420 |
},
|
421 |
{
|
422 |
"epoch": 1.21,
|
423 |
+
"learning_rate": 4.903846153846154e-06,
|
424 |
+
"loss": 0.8752,
|
425 |
"step": 62
|
426 |
},
|
427 |
{
|
428 |
"epoch": 1.22,
|
429 |
+
"learning_rate": 4.807692307692308e-06,
|
430 |
+
"loss": 0.8398,
|
431 |
"step": 63
|
432 |
},
|
433 |
{
|
434 |
"epoch": 1.23,
|
435 |
+
"learning_rate": 4.711538461538462e-06,
|
436 |
+
"loss": 0.8571,
|
437 |
"step": 64
|
438 |
},
|
439 |
{
|
440 |
"epoch": 1.24,
|
441 |
+
"learning_rate": 4.615384615384616e-06,
|
442 |
+
"loss": 0.8998,
|
443 |
"step": 65
|
444 |
},
|
445 |
{
|
446 |
"epoch": 1.25,
|
447 |
+
"learning_rate": 4.519230769230769e-06,
|
448 |
+
"loss": 0.9233,
|
449 |
"step": 66
|
450 |
},
|
451 |
{
|
452 |
"epoch": 1.25,
|
453 |
+
"eval_loss": 1.1090655326843262,
|
454 |
+
"eval_runtime": 104.9772,
|
455 |
+
"eval_samples_per_second": 3.144,
|
456 |
+
"eval_steps_per_second": 0.105,
|
457 |
+
"eval_wer": 175.20357656075362,
|
458 |
"step": 66
|
459 |
},
|
460 |
{
|
461 |
"epoch": 1.26,
|
462 |
+
"learning_rate": 4.423076923076924e-06,
|
463 |
+
"loss": 0.7878,
|
464 |
"step": 67
|
465 |
},
|
466 |
{
|
467 |
"epoch": 1.27,
|
468 |
+
"learning_rate": 4.3269230769230765e-06,
|
469 |
+
"loss": 0.8948,
|
470 |
"step": 68
|
471 |
},
|
472 |
{
|
473 |
"epoch": 1.28,
|
474 |
+
"learning_rate": 4.230769230769231e-06,
|
475 |
+
"loss": 0.8711,
|
476 |
"step": 69
|
477 |
},
|
478 |
{
|
479 |
"epoch": 1.29,
|
480 |
+
"learning_rate": 4.134615384615385e-06,
|
481 |
+
"loss": 0.8292,
|
482 |
"step": 70
|
483 |
},
|
484 |
{
|
485 |
"epoch": 1.29,
|
486 |
+
"learning_rate": 4.0384615384615385e-06,
|
487 |
+
"loss": 0.9318,
|
488 |
"step": 71
|
489 |
},
|
490 |
{
|
491 |
"epoch": 1.3,
|
492 |
+
"learning_rate": 3.942307692307692e-06,
|
493 |
+
"loss": 0.9272,
|
494 |
"step": 72
|
495 |
},
|
496 |
{
|
497 |
"epoch": 1.31,
|
498 |
+
"learning_rate": 3.846153846153846e-06,
|
499 |
+
"loss": 0.8923,
|
500 |
"step": 73
|
501 |
},
|
502 |
{
|
503 |
"epoch": 1.32,
|
504 |
+
"learning_rate": 3.75e-06,
|
505 |
+
"loss": 0.9013,
|
506 |
"step": 74
|
507 |
},
|
508 |
{
|
509 |
"epoch": 1.33,
|
510 |
+
"learning_rate": 3.653846153846154e-06,
|
511 |
+
"loss": 0.8659,
|
512 |
"step": 75
|
513 |
},
|
514 |
{
|
515 |
"epoch": 1.34,
|
516 |
+
"learning_rate": 3.5576923076923075e-06,
|
517 |
+
"loss": 0.8422,
|
518 |
"step": 76
|
519 |
},
|
520 |
{
|
521 |
"epoch": 2.01,
|
522 |
+
"learning_rate": 3.4615384615384617e-06,
|
523 |
+
"loss": 0.8482,
|
524 |
"step": 77
|
525 |
},
|
526 |
{
|
527 |
"epoch": 2.01,
|
528 |
+
"eval_loss": 1.0900639295578003,
|
529 |
+
"eval_runtime": 99.705,
|
530 |
+
"eval_samples_per_second": 3.31,
|
531 |
+
"eval_steps_per_second": 0.11,
|
532 |
+
"eval_wer": 161.85534089094685,
|
533 |
"step": 77
|
534 |
},
|
535 |
{
|
536 |
"epoch": 2.02,
|
537 |
+
"learning_rate": 3.3653846153846154e-06,
|
538 |
+
"loss": 0.8925,
|
539 |
"step": 78
|
540 |
},
|
541 |
{
|
542 |
"epoch": 2.03,
|
543 |
+
"learning_rate": 3.2692307692307696e-06,
|
544 |
+
"loss": 0.8202,
|
545 |
"step": 79
|
546 |
},
|
547 |
{
|
548 |
"epoch": 2.04,
|
549 |
+
"learning_rate": 3.1730769230769233e-06,
|
550 |
+
"loss": 0.8384,
|
551 |
"step": 80
|
552 |
},
|
553 |
{
|
554 |
"epoch": 2.04,
|
555 |
+
"learning_rate": 3.076923076923077e-06,
|
556 |
+
"loss": 0.8469,
|
557 |
"step": 81
|
558 |
},
|
559 |
{
|
560 |
"epoch": 2.05,
|
561 |
+
"learning_rate": 2.9807692307692307e-06,
|
562 |
+
"loss": 0.8172,
|
563 |
"step": 82
|
564 |
},
|
565 |
{
|
566 |
"epoch": 2.06,
|
567 |
+
"learning_rate": 2.884615384615385e-06,
|
568 |
+
"loss": 0.8119,
|
569 |
"step": 83
|
570 |
},
|
571 |
{
|
572 |
"epoch": 2.07,
|
573 |
+
"learning_rate": 2.7884615384615386e-06,
|
574 |
+
"loss": 0.7811,
|
575 |
"step": 84
|
576 |
},
|
577 |
{
|
578 |
"epoch": 2.08,
|
579 |
+
"learning_rate": 2.6923076923076923e-06,
|
580 |
+
"loss": 0.819,
|
581 |
"step": 85
|
582 |
},
|
583 |
{
|
584 |
"epoch": 2.09,
|
585 |
+
"learning_rate": 2.596153846153846e-06,
|
586 |
+
"loss": 0.8324,
|
587 |
"step": 86
|
588 |
},
|
589 |
{
|
590 |
"epoch": 2.1,
|
591 |
+
"learning_rate": 2.4999999999999998e-06,
|
592 |
+
"loss": 0.8336,
|
593 |
"step": 87
|
594 |
},
|
595 |
{
|
596 |
"epoch": 2.11,
|
597 |
+
"learning_rate": 2.403846153846154e-06,
|
598 |
+
"loss": 0.7929,
|
599 |
"step": 88
|
600 |
},
|
601 |
{
|
602 |
"epoch": 2.11,
|
603 |
+
"eval_loss": 1.0782241821289062,
|
604 |
+
"eval_runtime": 111.1236,
|
605 |
+
"eval_samples_per_second": 2.97,
|
606 |
+
"eval_steps_per_second": 0.099,
|
607 |
+
"eval_wer": 161.45617116397892,
|
608 |
"step": 88
|
609 |
},
|
610 |
{
|
611 |
"epoch": 2.12,
|
612 |
+
"learning_rate": 2.307692307692308e-06,
|
613 |
+
"loss": 0.774,
|
614 |
"step": 89
|
615 |
},
|
616 |
{
|
617 |
"epoch": 2.12,
|
618 |
+
"learning_rate": 2.211538461538462e-06,
|
619 |
+
"loss": 0.8693,
|
620 |
"step": 90
|
621 |
},
|
622 |
{
|
623 |
"epoch": 2.13,
|
624 |
+
"learning_rate": 2.1153846153846155e-06,
|
625 |
+
"loss": 0.8628,
|
626 |
"step": 91
|
627 |
},
|
628 |
{
|
629 |
"epoch": 2.14,
|
630 |
+
"learning_rate": 2.0192307692307692e-06,
|
631 |
+
"loss": 0.8199,
|
632 |
"step": 92
|
633 |
},
|
634 |
{
|
635 |
"epoch": 2.15,
|
636 |
+
"learning_rate": 1.923076923076923e-06,
|
637 |
+
"loss": 0.7995,
|
638 |
"step": 93
|
639 |
},
|
640 |
{
|
641 |
"epoch": 2.16,
|
642 |
+
"learning_rate": 1.826923076923077e-06,
|
643 |
+
"loss": 0.7824,
|
644 |
"step": 94
|
645 |
},
|
646 |
{
|
647 |
"epoch": 2.17,
|
648 |
+
"learning_rate": 1.7307692307692308e-06,
|
649 |
+
"loss": 0.7694,
|
650 |
"step": 95
|
651 |
},
|
652 |
{
|
653 |
"epoch": 2.18,
|
654 |
+
"learning_rate": 1.6346153846153848e-06,
|
655 |
+
"loss": 0.7526,
|
656 |
"step": 96
|
657 |
},
|
658 |
{
|
659 |
"epoch": 2.19,
|
660 |
+
"learning_rate": 1.5384615384615385e-06,
|
661 |
+
"loss": 0.7037,
|
662 |
"step": 97
|
663 |
},
|
664 |
{
|
665 |
"epoch": 2.2,
|
666 |
+
"learning_rate": 1.4423076923076924e-06,
|
667 |
+
"loss": 0.7366,
|
668 |
"step": 98
|
669 |
},
|
670 |
{
|
671 |
"epoch": 2.21,
|
672 |
+
"learning_rate": 1.3461538461538462e-06,
|
673 |
+
"loss": 0.7134,
|
674 |
"step": 99
|
675 |
},
|
676 |
{
|
677 |
"epoch": 2.21,
|
678 |
+
"eval_loss": 1.0737253427505493,
|
679 |
+
"eval_runtime": 96.9018,
|
680 |
+
"eval_samples_per_second": 3.406,
|
681 |
+
"eval_steps_per_second": 0.114,
|
682 |
+
"eval_wer": 177.1195912501996,
|
683 |
"step": 99
|
684 |
},
|
685 |
{
|
686 |
"epoch": 2.21,
|
687 |
+
"learning_rate": 1.2499999999999999e-06,
|
688 |
+
"loss": 0.7738,
|
689 |
"step": 100
|
690 |
},
|
691 |
{
|
692 |
"epoch": 2.22,
|
693 |
+
"learning_rate": 1.153846153846154e-06,
|
694 |
+
"loss": 0.7373,
|
695 |
"step": 101
|
696 |
},
|
697 |
{
|
698 |
"epoch": 2.23,
|
699 |
+
"learning_rate": 1.0576923076923078e-06,
|
700 |
+
"loss": 0.7623,
|
701 |
"step": 102
|
702 |
},
|
703 |
{
|
704 |
"epoch": 2.24,
|
705 |
+
"learning_rate": 9.615384615384615e-07,
|
706 |
+
"loss": 0.815,
|
707 |
"step": 103
|
708 |
},
|
709 |
{
|
710 |
"epoch": 2.25,
|
711 |
+
"learning_rate": 8.653846153846154e-07,
|
712 |
+
"loss": 0.829,
|
713 |
"step": 104
|
714 |
},
|
715 |
{
|
716 |
"epoch": 2.26,
|
717 |
+
"learning_rate": 7.692307692307693e-07,
|
718 |
+
"loss": 0.7113,
|
719 |
"step": 105
|
720 |
},
|
721 |
{
|
722 |
"epoch": 2.27,
|
723 |
+
"learning_rate": 6.730769230769231e-07,
|
724 |
+
"loss": 0.8106,
|
725 |
"step": 106
|
726 |
},
|
727 |
{
|
728 |
"epoch": 2.28,
|
729 |
+
"learning_rate": 5.76923076923077e-07,
|
730 |
+
"loss": 0.7909,
|
731 |
"step": 107
|
732 |
},
|
733 |
{
|
734 |
"epoch": 2.29,
|
735 |
+
"learning_rate": 4.807692307692307e-07,
|
736 |
+
"loss": 0.7564,
|
737 |
"step": 108
|
738 |
},
|
739 |
{
|
740 |
"epoch": 2.29,
|
741 |
+
"learning_rate": 3.8461538461538463e-07,
|
742 |
+
"loss": 0.8574,
|
743 |
"step": 109
|
744 |
},
|
745 |
{
|
746 |
"epoch": 2.3,
|
747 |
+
"learning_rate": 2.884615384615385e-07,
|
748 |
+
"loss": 0.8543,
|
749 |
"step": 110
|
750 |
},
|
751 |
{
|
752 |
"epoch": 2.3,
|
753 |
+
"eval_loss": 1.0717276334762573,
|
754 |
+
"eval_runtime": 95.923,
|
755 |
+
"eval_samples_per_second": 3.44,
|
756 |
+
"eval_steps_per_second": 0.115,
|
757 |
+
"eval_wer": 187.5459045186013,
|
758 |
"step": 110
|
759 |
},
|
760 |
{
|
761 |
"epoch": 2.31,
|
762 |
+
"learning_rate": 1.9230769230769231e-07,
|
763 |
+
"loss": 0.824,
|
764 |
"step": 111
|
765 |
},
|
766 |
{
|
767 |
"epoch": 2.32,
|
768 |
+
"learning_rate": 9.615384615384616e-08,
|
769 |
+
"loss": 0.8352,
|
770 |
"step": 112
|
771 |
},
|
772 |
{
|
773 |
"epoch": 2.32,
|
774 |
"step": 112,
|
775 |
"total_flos": 1.7415399333888e+17,
|
776 |
+
"train_loss": 1.0522634956453527,
|
777 |
+
"train_runtime": 1735.2585,
|
778 |
+
"train_samples_per_second": 4.131,
|
779 |
+
"train_steps_per_second": 0.065
|
780 |
}
|
781 |
],
|
782 |
"max_steps": 112,
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3579
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4578ee205fe35fdbb3b98224d5f855f806bd9eedb29095f0f731a29261db2d94
|
3 |
size 3579
|