Downloads · 30 days
23
29% of all-time downloads
DERL-Meta-Optimizer-Init-Qwen2.5-0.5B-Instruct
DifferentiableEvolutionaryRL/DERL-Meta-Optimizer-Init-Qwen2.5-0.5B-Instruct
DERL-Meta-Optimizer-Init-Qwen2.5-0.5B-Instruct is a text generation model from DifferentiableEvolutionaryRL. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
78
Public
Parameters
494M
12.9 GB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.pt11.9 GB · 86%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- qwen2
- Access
- Public
- Created
- Dec 16, 2025
- Updated
- Dec 21, 2025
- SHA
- dfaddfc6
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
sft
This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the sft_with_format dataset.
Model description
The model is the base Meta-Optimizer for DERL used for all tasks.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 128
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 4096
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 12.0
Training results
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.1
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- License
- mit
- Languages
- en
- Created
- Dec 16, 2025
- Updated
- Dec 21, 2025