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Upload sentiment classifier trained on Amazon Reviews

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Files changed (3) hide show
  1. README.md +2 -1
  2. config.json +0 -4
  3. model.safetensors +2 -2
README.md CHANGED
@@ -32,7 +32,8 @@ This is a sentiment classification model fine-tuned on Amazon Reviews dataset.
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  ## Model Description
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  - **Base Model**: xlm-roberta-base
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- - **Task**: Binary Sentiment Classification (negative/positive)
 
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  - **Languages**: Multilingual (100+ languages)
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  - **Parameters**: 278M
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  ## Model Description
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  - **Base Model**: xlm-roberta-base
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+ - **Task**: Sentiment Classification (negative/neutral/positive)
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+ - **Architecture**: Sequence Classification (single-head)
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  - **Languages**: Multilingual (100+ languages)
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  - **Parameters**: 278M
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config.json CHANGED
@@ -14,10 +14,6 @@
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  "LABEL_1": 1,
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  "LABEL_2": 2
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  },
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- "loss_weights": {
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- "classification": 0.7,
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- "regression": 0.3
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- },
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  "model_type": "sentiment-classifier",
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  "pretrained_model": "xlm-roberta-base",
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  "torch_dtype": "float32",
 
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  "LABEL_1": 1,
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  "LABEL_2": 2
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  },
 
 
 
 
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  "model_type": "sentiment-classifier",
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  "pretrained_model": "xlm-roberta-base",
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  "torch_dtype": "float32",
model.safetensors CHANGED
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