Hugging Face's logo

santis2
/
bert-base-uncased-glue-mrpc

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
santis2 commited on
Commit
455c832
•
1 Parent(s): 85872f1

End of training

Browse files
Files changed (4) hide show
  1. README.md +7 -7
  2. config.json +1 -1
  3. pytorch_model.bin +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -23,10 +23,10 @@ model-index:
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
- value: 0.8602941176470589
27
  - name: F1
28
  type: f1
29
- value: 0.9001751313485115
30
  ---
31
 
32
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ should probably proofread and complete it, then remove this comment. -->
36
 
37
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
38
  It achieves the following results on the evaluation set:
39
- - Loss: 0.3273
40
- - Accuracy: 0.8603
41
- - F1: 0.9002
42
 
43
  ## Model description
44
 
@@ -69,12 +69,12 @@ The following hyperparameters were used during training:
69
 
70
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
71
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
72
- | 0.3806 | 0.87 | 100 | 0.3273 | 0.8603 | 0.9002 |
73
 
74
 
75
  ### Framework versions
76
 
77
- - Transformers 4.33.2
78
  - Pytorch 2.0.1+cu118
79
  - Datasets 2.14.5
80
  - Tokenizers 0.13.3
 
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
+ value: 0.8259803921568627
27
  - name: F1
28
  type: f1
29
+ value: 0.8818635607321131
30
  ---
31
 
32
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
36
 
37
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
38
  It achieves the following results on the evaluation set:
39
+ - Loss: 0.4033
40
+ - Accuracy: 0.8260
41
+ - F1: 0.8819
42
 
43
  ## Model description
44
 
 
69
 
70
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
71
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
72
+ | 0.5459 | 0.87 | 100 | 0.4033 | 0.8260 | 0.8819 |
73
 
74
 
75
  ### Framework versions
76
 
77
+ - Transformers 4.33.3
78
  - Pytorch 2.0.1+cu118
79
  - Datasets 2.14.5
80
  - Tokenizers 0.13.3
config.json CHANGED
@@ -24,7 +24,7 @@
24
  "position_embedding_type": "absolute",
25
  "problem_type": "single_label_classification",
26
  "torch_dtype": "float32",
27
- "transformers_version": "4.33.2",
28
  "type_vocab_size": 2,
29
  "use_cache": true,
30
  "vocab_size": 30522
 
24
  "position_embedding_type": "absolute",
25
  "problem_type": "single_label_classification",
26
  "torch_dtype": "float32",
27
+ "transformers_version": "4.33.3",
28
  "type_vocab_size": 2,
29
  "use_cache": true,
30
  "vocab_size": 30522
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e62108b824b56ace6dd07e35ac79862926c276050cda9c14a10c3a26f13c856b
3
  size 438003505
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4b148c7dd74575baa63270f25bbefdf8f6e09676cc5aa71564bdec064f006d2d
3
  size 438003505
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:fcccf09a3232f710790442a7efb908802f2b23c557577038497bf8e6c37de6f7
3
  size 4027
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:856ef466d9dc9f37bee135ab98bb7a4b14bccfea5b5e2e05df22e481a86c8f73
3
  size 4027