Hugging Face's logo

leetdavid
/
market_positivity_model

Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
Inference Endpoints
Model card Files Community
1
leetdavid commited on
Commit
9ec28fe
·
1 Parent(s): e255159

add model

Browse files
Files changed (3) hide show
  1. README.md +11 -11
  2. config.json +1 -1
  3. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
14
 
15
  This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an unknown dataset.
16
  It achieves the following results on the evaluation set:
17
- - Train Loss: 0.3171
18
- - Train Sparse Categorical Accuracy: 0.8870
19
- - Validation Loss: 0.3344
20
- - Validation Sparse Categorical Accuracy: 0.8768
21
  - Epoch: 2
22
 
23
  ## Model description
@@ -44,14 +44,14 @@ The following hyperparameters were used during training:
44
 
45
  | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
46
  |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
47
- | 0.4282 | 0.8574 | 0.3700 | 0.8720 | 0 |
48
- | 0.3583 | 0.8694 | 0.3345 | 0.8672 | 1 |
49
- | 0.3171 | 0.8870 | 0.3344 | 0.8768 | 2 |
50
 
51
 
52
  ### Framework versions
53
 
54
- - Transformers 4.16.0
55
- - TensorFlow 2.7.0
56
- - Datasets 1.18.1
57
- - Tokenizers 0.11.0
 
14
 
15
  This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an unknown dataset.
16
  It achieves the following results on the evaluation set:
17
+ - Train Loss: 0.4546
18
+ - Train Sparse Categorical Accuracy: 0.8132
19
+ - Validation Loss: 0.5708
20
+ - Validation Sparse Categorical Accuracy: 0.7705
21
  - Epoch: 2
22
 
23
  ## Model description
 
44
 
45
  | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
46
  |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
47
+ | 0.6264 | 0.7340 | 0.6649 | 0.7134 | 0 |
48
+ | 0.5270 | 0.7727 | 0.5472 | 0.7394 | 1 |
49
+ | 0.4546 | 0.8132 | 0.5708 | 0.7705 | 2 |
50
 
51
 
52
  ### Framework versions
53
 
54
+ - Transformers 4.16.2
55
+ - TensorFlow 2.8.0
56
+ - Datasets 1.18.3
57
+ - Tokenizers 0.10.3
config.json CHANGED
@@ -36,7 +36,7 @@
36
  "pooler_size_per_head": 128,
37
  "pooler_type": "first_token_transform",
38
  "position_embedding_type": "absolute",
39
- "transformers_version": "4.16.0",
40
  "type_vocab_size": 2,
41
  "use_cache": true,
42
  "vocab_size": 21128
 
36
  "pooler_size_per_head": 128,
37
  "pooler_type": "first_token_transform",
38
  "position_embedding_type": "absolute",
39
+ "transformers_version": "4.16.2",
40
  "type_vocab_size": 2,
41
  "use_cache": true,
42
  "vocab_size": 21128
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5fa1732854c4492ffdf1c27653b0270bb9842ec9999e3d48e91ca4009a0e914c
3
  size 409367900
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:909e1d480b6e2a00081d0a785f14538f1a8a40ec474d289205eb42b1e48d2d84
3
  size 409367900