clincolnoz
commited on
Commit
•
801d89b
1
Parent(s):
2f6ceea
correct weights
Browse files- README.md +2 -2
- all_results.json +6 -6
- eval_results.json +3 -3
- predict_results_None.txt +0 -0
- train_results.json +3 -3
- trainer_state.json +12 -12
- training_args.bin +1 -1
README.md
CHANGED
@@ -5,14 +5,14 @@ metrics:
|
|
5 |
- f1
|
6 |
- accuracy
|
7 |
model-index:
|
8 |
-
- name: final-lr2e-5-bs16
|
9 |
results: []
|
10 |
---
|
11 |
|
12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
13 |
should probably proofread and complete it, then remove this comment. -->
|
14 |
|
15 |
-
# final-lr2e-5-bs16
|
16 |
|
17 |
This model is a fine-tuned version of [GroNLP/hateBERT](https://huggingface.co/GroNLP/hateBERT) on an unknown dataset.
|
18 |
It achieves the following results on the evaluation set:
|
|
|
5 |
- f1
|
6 |
- accuracy
|
7 |
model-index:
|
8 |
+
- name: final-lr2e-5-bs16-fp16-2
|
9 |
results: []
|
10 |
---
|
11 |
|
12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
13 |
should probably proofread and complete it, then remove this comment. -->
|
14 |
|
15 |
+
# final-lr2e-5-bs16-fp16-2
|
16 |
|
17 |
This model is a fine-tuned version of [GroNLP/hateBERT](https://huggingface.co/GroNLP/hateBERT) on an unknown dataset.
|
18 |
It achieves the following results on the evaluation set:
|
all_results.json
CHANGED
@@ -8,13 +8,13 @@
|
|
8 |
"eval_f1_macro": 0.8456692644535684,
|
9 |
"eval_f1_weighted": 0.8868003346108867,
|
10 |
"eval_loss": 0.42191165685653687,
|
11 |
-
"eval_runtime": 9.
|
12 |
"eval_samples": 4000,
|
13 |
-
"eval_samples_per_second":
|
14 |
-
"eval_steps_per_second":
|
15 |
"train_loss": 0.25008199564615885,
|
16 |
-
"train_runtime":
|
17 |
"train_samples": 16000,
|
18 |
-
"train_samples_per_second":
|
19 |
-
"train_steps_per_second": 6.
|
20 |
}
|
|
|
8 |
"eval_f1_macro": 0.8456692644535684,
|
9 |
"eval_f1_weighted": 0.8868003346108867,
|
10 |
"eval_loss": 0.42191165685653687,
|
11 |
+
"eval_runtime": 9.5988,
|
12 |
"eval_samples": 4000,
|
13 |
+
"eval_samples_per_second": 416.717,
|
14 |
+
"eval_steps_per_second": 26.045,
|
15 |
"train_loss": 0.25008199564615885,
|
16 |
+
"train_runtime": 430.1638,
|
17 |
"train_samples": 16000,
|
18 |
+
"train_samples_per_second": 111.585,
|
19 |
+
"train_steps_per_second": 6.974
|
20 |
}
|
eval_results.json
CHANGED
@@ -8,8 +8,8 @@
|
|
8 |
"eval_f1_macro": 0.8456692644535684,
|
9 |
"eval_f1_weighted": 0.8868003346108867,
|
10 |
"eval_loss": 0.42191165685653687,
|
11 |
-
"eval_runtime": 9.
|
12 |
"eval_samples": 4000,
|
13 |
-
"eval_samples_per_second":
|
14 |
-
"eval_steps_per_second":
|
15 |
}
|
|
|
8 |
"eval_f1_macro": 0.8456692644535684,
|
9 |
"eval_f1_weighted": 0.8868003346108867,
|
10 |
"eval_loss": 0.42191165685653687,
|
11 |
+
"eval_runtime": 9.5988,
|
12 |
"eval_samples": 4000,
|
13 |
+
"eval_samples_per_second": 416.717,
|
14 |
+
"eval_steps_per_second": 26.045
|
15 |
}
|
predict_results_None.txt
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
"train_loss": 0.25008199564615885,
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 16000,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 6.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
"train_loss": 0.25008199564615885,
|
4 |
+
"train_runtime": 430.1638,
|
5 |
"train_samples": 16000,
|
6 |
+
"train_samples_per_second": 111.585,
|
7 |
+
"train_steps_per_second": 6.974
|
8 |
}
|
trainer_state.json
CHANGED
@@ -29,9 +29,9 @@
|
|
29 |
"eval_f1_macro": 0.8322651270370958,
|
30 |
"eval_f1_weighted": 0.8811581651570527,
|
31 |
"eval_loss": 0.28936144709587097,
|
32 |
-
"eval_runtime": 9.
|
33 |
-
"eval_samples_per_second":
|
34 |
-
"eval_steps_per_second": 25.
|
35 |
"step": 1000
|
36 |
},
|
37 |
{
|
@@ -56,9 +56,9 @@
|
|
56 |
"eval_f1_macro": 0.8404912868365435,
|
57 |
"eval_f1_weighted": 0.883022889500339,
|
58 |
"eval_loss": 0.3370012938976288,
|
59 |
-
"eval_runtime": 9.
|
60 |
-
"eval_samples_per_second":
|
61 |
-
"eval_steps_per_second":
|
62 |
"step": 2000
|
63 |
},
|
64 |
{
|
@@ -83,9 +83,9 @@
|
|
83 |
"eval_f1_macro": 0.8456692644535684,
|
84 |
"eval_f1_weighted": 0.8868003346108867,
|
85 |
"eval_loss": 0.42191165685653687,
|
86 |
-
"eval_runtime": 9.
|
87 |
-
"eval_samples_per_second":
|
88 |
-
"eval_steps_per_second": 25.
|
89 |
"step": 3000
|
90 |
},
|
91 |
{
|
@@ -93,9 +93,9 @@
|
|
93 |
"step": 3000,
|
94 |
"total_flos": 1.262933065728e+16,
|
95 |
"train_loss": 0.25008199564615885,
|
96 |
-
"train_runtime":
|
97 |
-
"train_samples_per_second":
|
98 |
-
"train_steps_per_second": 6.
|
99 |
}
|
100 |
],
|
101 |
"max_steps": 3000,
|
|
|
29 |
"eval_f1_macro": 0.8322651270370958,
|
30 |
"eval_f1_weighted": 0.8811581651570527,
|
31 |
"eval_loss": 0.28936144709587097,
|
32 |
+
"eval_runtime": 9.6197,
|
33 |
+
"eval_samples_per_second": 415.814,
|
34 |
+
"eval_steps_per_second": 25.988,
|
35 |
"step": 1000
|
36 |
},
|
37 |
{
|
|
|
56 |
"eval_f1_macro": 0.8404912868365435,
|
57 |
"eval_f1_weighted": 0.883022889500339,
|
58 |
"eval_loss": 0.3370012938976288,
|
59 |
+
"eval_runtime": 9.6013,
|
60 |
+
"eval_samples_per_second": 416.608,
|
61 |
+
"eval_steps_per_second": 26.038,
|
62 |
"step": 2000
|
63 |
},
|
64 |
{
|
|
|
83 |
"eval_f1_macro": 0.8456692644535684,
|
84 |
"eval_f1_weighted": 0.8868003346108867,
|
85 |
"eval_loss": 0.42191165685653687,
|
86 |
+
"eval_runtime": 9.6938,
|
87 |
+
"eval_samples_per_second": 412.636,
|
88 |
+
"eval_steps_per_second": 25.79,
|
89 |
"step": 3000
|
90 |
},
|
91 |
{
|
|
|
93 |
"step": 3000,
|
94 |
"total_flos": 1.262933065728e+16,
|
95 |
"train_loss": 0.25008199564615885,
|
96 |
+
"train_runtime": 430.1638,
|
97 |
+
"train_samples_per_second": 111.585,
|
98 |
+
"train_steps_per_second": 6.974
|
99 |
}
|
100 |
],
|
101 |
"max_steps": 3000,
|
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 sha256:7e9edea7fbc0c6473a0822fe1b148f4242cc30096aab146072b47a4fdb2ebdca
|
3 |
size 3579
|