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leetdavid
/
market_positivity_model

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

add model

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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. -->
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  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.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.3171
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- - Train Sparse Categorical Accuracy: 0.8870
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- - Validation Loss: 0.3344
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- - Validation Sparse Categorical Accuracy: 0.8768
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  - Epoch: 2
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  ## Model description
@@ -44,14 +44,14 @@ The following hyperparameters were used during training:
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  | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
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  |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
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- | 0.4282 | 0.8574 | 0.3700 | 0.8720 | 0 |
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- | 0.3583 | 0.8694 | 0.3345 | 0.8672 | 1 |
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- | 0.3171 | 0.8870 | 0.3344 | 0.8768 | 2 |
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  ### Framework versions
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- - Transformers 4.16.0
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- - TensorFlow 2.7.0
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- - Datasets 1.18.1
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- - Tokenizers 0.11.0
 
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  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.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.4546
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+ - Train Sparse Categorical Accuracy: 0.8132
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+ - Validation Loss: 0.5708
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+ - Validation Sparse Categorical Accuracy: 0.7705
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  - Epoch: 2
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  ## Model description
 
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  | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
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  |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
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+ | 0.6264 | 0.7340 | 0.6649 | 0.7134 | 0 |
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+ | 0.5270 | 0.7727 | 0.5472 | 0.7394 | 1 |
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+ | 0.4546 | 0.8132 | 0.5708 | 0.7705 | 2 |
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  ### Framework versions
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+ - Transformers 4.16.2
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+ - TensorFlow 2.8.0
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+ - Datasets 1.18.3
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+ - Tokenizers 0.10.3
config.json CHANGED
@@ -36,7 +36,7 @@
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  "pooler_size_per_head": 128,
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  "pooler_type": "first_token_transform",
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  "position_embedding_type": "absolute",
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- "transformers_version": "4.16.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 21128
 
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  "pooler_size_per_head": 128,
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  "pooler_type": "first_token_transform",
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  "position_embedding_type": "absolute",
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+ "transformers_version": "4.16.2",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 21128
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 409367900
 
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  size 409367900