Upload 5 files
Browse files- README.md +7 -4
- config.json +10 -2
- examples.json +0 -0
- model.safetensors +2 -2
- optimization_stats.json +0 -0
README.md
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@@ -16,14 +16,17 @@ You can install it with `pip install adaptive-classifier`.
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## Model Details
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- Base Model: distilbert-base-uncased
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- Number of Classes:
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- Total Examples:
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- Embedding Dimension: 768
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## Class Distribution
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```
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-
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```
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## Usage
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## Training Details
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- Training Steps:
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- Examples per Class: See distribution above
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- Prototype Memory: Active
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- Neural Adaptation: Active
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## Model Details
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- Base Model: distilbert-base-uncased
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- Number of Classes: 4
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- Total Examples: 60
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- Embedding Dimension: 768
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## Class Distribution
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```
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T0.0_P1.0_PP0.0_FP0.0: 18 examples (30.0%)
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T0.7_P1.0_PP0.0_FP0.0: 22 examples (36.7%)
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T1.0_P0.1_PP0.0_FP0.0: 1 examples (1.7%)
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T1.0_P1.0_PP0.0_FP0.0: 19 examples (31.7%)
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```
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## Usage
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## Training Details
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- Training Steps: 51
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- Examples per Class: See distribution above
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- Prototype Memory: Active
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- Neural Adaptation: Active
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config.json
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},
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"embedding_dim": 768,
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"id_to_label": {
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"0": "FOCUSED"
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},
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"label_to_id": {
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"FOCUSED": 0
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},
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"model_name": "distilbert-base-uncased",
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"train_steps":
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}
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},
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"embedding_dim": 768,
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"id_to_label": {
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"0": "FOCUSED",
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"1": "BALANCED",
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"2": "CREATIVE",
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"3": "DETERMINISTIC",
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"4": "EXPERIMENTAL"
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},
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"label_to_id": {
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"BALANCED": 1,
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"CREATIVE": 2,
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"DETERMINISTIC": 3,
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"EXPERIMENTAL": 4,
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"FOCUSED": 0
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},
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"model_name": "distilbert-base-uncased",
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"train_steps": 125
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}
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examples.json
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:a16aa8b90178b851513b5c8e51d16e38dc3e9293a2c327568c98a60d575ed4ae
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size 3567604
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optimization_stats.json
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