text-complexity-deberta / model-config.yaml
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model_id: complexity-deberta-v3-train-pool
domain: complexity
display_name: DeBERTa V3 train_pool
description: DeBERTa V3 sequence classifier for CEFR-based text complexity classification.
version: '2026-03-07'
is_active: false
priority: 1
framework:
type: transformers
task: sequence-classification
library: huggingface
backbone: microsoft/deberta-v3-base
architecture: DebertaV2ForSequenceClassification
artifacts:
weights:
- model.safetensors
tokenizer:
- tokenizer.json
- tokenizer_config.json
- spm.model
- special_tokens_map.json
- added_tokens.json
config:
- config.json
vocabulary: []
model: {}
runtime:
max_sequence_length: 256
truncation: true
padding: true
batch_size: 8
device: auto
inference:
return_probabilities: true
confidence_method: softmax_max
ui:
domain_display_name: Text Complexity
color_token: complexity
group: complexity-core
labels:
type: single-label-classification
classes:
- id: 0
name: A1-A2
display_name: A1-A2
- id: 1
name: B1-B2
display_name: B1-B2
- id: 2
name: C1-C2
display_name: C1-C2