ndiy commited on
Commit
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1 Parent(s): e47fcdd

End of training

Browse files
README.md CHANGED
@@ -1,5 +1,5 @@
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  ---
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- base_model: ndiy/ASAP_SENT
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # ASAP_SENT
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- This model is a fine-tuned version of [ndiy/ASAP_SENT](https://huggingface.co/ndiy/ASAP_SENT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0438
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- - Accuracy: 0.5719
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  ## Model description
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@@ -42,14 +42,17 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.6583 | 1.0 | 1152 | 1.0608 | 0.5737 |
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- | 0.7537 | 2.0 | 2304 | 1.0438 | 0.5719 |
 
 
 
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  ### Framework versions
 
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  ---
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+ base_model: techthiyanes/chinese_sentiment
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # ASAP_SENT
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+ This model is a fine-tuned version of [techthiyanes/chinese_sentiment](https://huggingface.co/techthiyanes/chinese_sentiment) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5341
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+ - Accuracy: 0.4826
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.9308 | 1.0 | 1152 | 0.9855 | 0.3233 |
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+ | 0.8102 | 2.0 | 2304 | 1.0159 | 0.3836 |
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+ | 0.8724 | 3.0 | 3456 | 1.1756 | 0.4202 |
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+ | 0.3904 | 4.0 | 4608 | 1.4129 | 0.4773 |
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+ | 0.5297 | 5.0 | 5760 | 1.5341 | 0.4826 |
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  ### Framework versions
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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  "architectures": [
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  "BertForSequenceClassification"
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  ],
@@ -32,7 +32,6 @@
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  "num_hidden_layers": 12,
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  "torch_dtype": "float32",
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  "transformers_version": "4.39.3",
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  "type_vocab_size": 2,
 
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