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weizhou03
/
nomic-embed-text-v1.5

Text Classification
setfit
Safetensors
GGUF
sentence-transformers
nomic_bert
generated_from_setfit_trainer
custom_code
Eval Results
feature-extraction
Model card Files
xet
Community
weizhou03 commited on
Commit
b447efe
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verified ·
1 Parent(s): 61bbddb

Push model using huggingface_hub.

Browse files
Files changed (3) hide show
  1. README.md +13 -8
  2. model.safetensors +1 -1
  3. model_head.pkl +1 -1
README.md CHANGED
@@ -28,7 +28,7 @@ model-index:
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  split: test
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  metrics:
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  - type: accuracy
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- value: 0.4163860830527497
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  name: Accuracy
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  ---
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@@ -131,7 +131,7 @@ The model has been trained using an efficient few-shot learning technique that i
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  ### Metrics
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  | Label | Accuracy |
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  |:--------|:---------|
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- | **all** | 0.4164 |
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  ## Uses
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@@ -252,7 +252,7 @@ preds = model("Group the menu items")
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  | 62 | 2 |
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  ### Training Hyperparameters
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- - batch_size: (64, 64)
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  - num_epochs: (1, 1)
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  - max_steps: -1
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  - sampling_strategy: oversampling
@@ -272,11 +272,16 @@ preds = model("Group the menu items")
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  ### Training Results
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  | Epoch | Step | Training Loss | Validation Loss |
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  |:------:|:----:|:-------------:|:---------------:|
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- | 0.0041 | 1 | 0.1097 | - |
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- | 0.2041 | 50 | 0.0477 | - |
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- | 0.4082 | 100 | 0.0106 | - |
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- | 0.6122 | 150 | 0.0045 | - |
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- | 0.8163 | 200 | 0.0032 | - |
 
 
 
 
 
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  ### Framework Versions
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  - Python: 3.12.11
 
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  split: test
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  metrics:
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  - type: accuracy
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+ value: 0.4051627384960718
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  name: Accuracy
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  ---
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  ### Metrics
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  | Label | Accuracy |
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  |:--------|:---------|
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+ | **all** | 0.4052 |
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  ## Uses
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  | 62 | 2 |
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  ### Training Hyperparameters
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+ - batch_size: (32, 32)
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  - num_epochs: (1, 1)
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  - max_steps: -1
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  - sampling_strategy: oversampling
 
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  ### Training Results
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  | Epoch | Step | Training Loss | Validation Loss |
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  |:------:|:----:|:-------------:|:---------------:|
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+ | 0.0020 | 1 | 0.1159 | - |
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+ | 0.1022 | 50 | 0.0629 | - |
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+ | 0.2045 | 100 | 0.0144 | - |
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+ | 0.3067 | 150 | 0.0101 | - |
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+ | 0.4090 | 200 | 0.0062 | - |
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+ | 0.5112 | 250 | 0.0032 | - |
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+ | 0.6135 | 300 | 0.0037 | - |
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+ | 0.7157 | 350 | 0.0024 | - |
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+ | 0.8180 | 400 | 0.003 | - |
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+ | 0.9202 | 450 | 0.0012 | - |
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  ### Framework Versions
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  - Python: 3.12.11
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