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ModelHub XC 51cf6da7cd 初始化项目,由ModelHub XC社区提供模型
Model: Grogros/dm-llama3.2-1BI-LucieFr-Al4-OWT-TV-ablation-h2d4
Source: Original Platform
2026-10-01 07:19:25 +08:00

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---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
tags:
- generated_from_trainer
model-index:
- name: dm-llama3.2-1BI-LucieFr-Al4-OWT-TV-ablation-h2d4
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. -->
# dm-llama3.2-1BI-LucieFr-Al4-OWT-TV-ablation-h2d4
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the None 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAFACTOR and the args are:
No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2500
### Training results
### Framework versions
- Transformers 4.46.3
- Pytorch 2.7.0
- Datasets 3.5.0
- Tokenizers 0.20.4