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Icd 2026

This model is a fine-tuned version of Qwen/Qwen3.5-4B on the icdtrainnames dataset.

Fuentehuggingface.co/xiaojie06/icd_2026/tree/a49dfabc5bcbaadef6c16669616e1447be2d79d3
TipoOtherModelo baseQwen/Qwen3.5-4BVersiónRevision a49dfabPublicador@xiaojie06Ccalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
248 MB
Modelo base
Qwen/Qwen3.5-4B
Versión
vRevision a49dfab
Actualizado
6 oct 2026
Publicador
@xiaojie06
Descargas
1
Parámetros
4B
Fuente
Hugging Face

Descripción de la fuente

icd_names

This model is a fine-tuned version of Qwen/Qwen3.5-4B on the icd_train_names dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 0.05
  • num_epochs: 3.0

Training results

Framework versions

  • PEFT 0.19.1
  • Transformers 5.10.2
  • Pytorch 2.11.0+cu130
  • Datasets 4.8.5
  • Tokenizers 0.22.2

Fuentes

1 fuente
Hugging FacePrincipalVersión a49dfabc5bcbaadef6c16669616e1447be2d79d3
huggingface.co/xiaojie06/icd_2026/tree/a49dfabc5bcbaadef6c16669616e1447be2d79d3

Verificado 27 ago

Artefactos del modelo

5 artefactos

adapter_model.safetensors

safetensors · 248 MB · SHA-256 f1c705f86fca…1474 · Hugging Face

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checkpoint-200/adapter_model.safetensors

safetensors · 248 MB · SHA-256 d99c4af18465…13d6 · Hugging Face

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checkpoint-400/adapter_model.safetensors

safetensors · 248 MB · SHA-256 66fa868fb859…9824 · Hugging Face

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checkpoint-600/adapter_model.safetensors

safetensors · 248 MB · SHA-256 7d86cb1e69ab…3f50 · Hugging Face

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checkpoint-639/adapter_model.safetensors

safetensors · 248 MB · SHA-256 f1c705f86fca…1474 · Hugging Face

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Extractos de fuentes

3 extractos
Readme11 julhuggingface.co/xiaojie06/icd_2026

--- library_name: peft license: other base_model: Qwen/Qwen3.5-4B tags: - base_model:adapter:Qwen/Qwen3.5-4B - llama-factory - lora - transformers pipeline_tag: text-generation model-index: - name: icd_names results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # icd_names This model is a fine-tuned version of [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B) on the icd_train_names dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0001 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 8 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 0.05 - num_epochs: 3.0 ### Training results ### Framework versions - PEFT 0.19.1 - Transformers 5.10.2 - Pytorch 2.11.0+cu130 - Datasets 4.8.5 - Tokenizers 0.22.2

Note11 julhuggingface.co/xiaojie06/icd_2026

Source context: 1 downloads · 0 likes · Pipeline text-generation · Library peft · Repo xiaojie06/icd_2026

Note6 junhuggingface.co/api/models/xiaojie06/icd_2026

Source context: 0 downloads · 0 likes · Pipeline text-generation · Library peft · Repo xiaojie06/icd_2026