doyoungkim commited on
Commit
db5626a
1 Parent(s): 67be788
README.md CHANGED
@@ -16,7 +16,7 @@ model_index:
16
  metric:
17
  name: Accuracy
18
  type: accuracy
19
- value: 0.9357798165137615
20
  ---
21
 
22
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -26,8 +26,8 @@ should probably proofread and complete it, then remove this comment. -->
26
 
27
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
28
  It achieves the following results on the evaluation set:
29
- - Loss: 0.4175
30
- - Accuracy: 0.9358
31
 
32
  ## Model description
33
 
@@ -58,16 +58,16 @@ The following hyperparameters were used during training:
58
 
59
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
60
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
61
- | 0.178 | 1.0 | 4210 | 0.3340 | 0.9037 |
62
- | 0.1246 | 2.0 | 8420 | 0.3303 | 0.9186 |
63
- | 0.0756 | 3.0 | 12630 | 0.3180 | 0.9289 |
64
- | 0.0663 | 4.0 | 16840 | 0.3218 | 0.9323 |
65
- | 0.0389 | 5.0 | 21050 | 0.4175 | 0.9358 |
66
 
67
 
68
  ### Framework versions
69
 
70
- - Transformers 4.9.1
71
  - Pytorch 1.9.0+cu102
72
  - Datasets 1.11.0
73
  - Tokenizers 0.10.3
 
16
  metric:
17
  name: Accuracy
18
  type: accuracy
19
+ value: 0.9277522935779816
20
  ---
21
 
22
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
26
 
27
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
28
  It achieves the following results on the evaluation set:
29
+ - Loss: 0.3194
30
+ - Accuracy: 0.9278
31
 
32
  ## Model description
33
 
 
58
 
59
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
60
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
61
+ | 0.1803 | 1.0 | 4210 | 0.3157 | 0.9117 |
62
+ | 0.1249 | 2.0 | 8420 | 0.3171 | 0.9209 |
63
+ | 0.0803 | 3.0 | 12630 | 0.3355 | 0.9232 |
64
+ | 0.0699 | 4.0 | 16840 | 0.3194 | 0.9278 |
65
+ | 0.0371 | 5.0 | 21050 | 0.3965 | 0.9266 |
66
 
67
 
68
  ### Framework versions
69
 
70
+ - Transformers 4.9.2
71
  - Pytorch 1.9.0+cu102
72
  - Datasets 1.11.0
73
  - Tokenizers 0.10.3
config.json CHANGED
@@ -20,7 +20,7 @@
20
  "pretrained_model_name_or_path": "bert-base-uncased",
21
  "problem_type": "single_label_classification",
22
  "torch_dtype": "float32",
23
- "transformers_version": "4.9.1",
24
  "type_vocab_size": 2,
25
  "use_cache": true,
26
  "vocab_size": 30522
 
20
  "pretrained_model_name_or_path": "bert-base-uncased",
21
  "problem_type": "single_label_classification",
22
  "torch_dtype": "float32",
23
+ "transformers_version": "4.9.2",
24
  "type_vocab_size": 2,
25
  "use_cache": true,
26
  "vocab_size": 30522
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c04e504aea068ba1258434beadf949224c1b031dc2999e529fa79a0dac695edb
3
  size 438019245
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:194e6486b81086f314b18acff889a3f92088111262ecd28a7c5a50f1d85401be
3
  size 438019245
runs/Aug11_19-02-36_c664d75a2386/1628708592.6405756/events.out.tfevents.1628708592.c664d75a2386.65.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:94087de1b343d3333921143985c0a551b8e17d56a6139964c8d10d5e639000b2
3
+ size 4203
runs/Aug11_19-02-36_c664d75a2386/events.out.tfevents.1628708592.c664d75a2386.65.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3edb90e5c77f3703c84ccf73166d221f05fcad471d721496eb55b457ae67aa66
3
+ size 11550
runs/Aug11_19-02-36_c664d75a2386/events.out.tfevents.1628711572.c664d75a2386.65.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bde82d5c879e70bdb6b01406a00f16da06ae29e36d71c331e894659d2f58b5d5
3
+ size 369
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:29d9fc8bb0ab074ef0556f248be19418e37294619a30156f05e9cb2c44bbf380
3
  size 2671
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a7eec076c0b1268d47b1992f691b17e0e136d129c5dd932e03b59c9596f0f1e9
3
  size 2671