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asa-temporal-alld-cycle-timestamp
Leng2beat/asa-temporal-alld-cycle-timestamp
asa-temporal-alld-cycle-timestamp is a text generation model from Leng2beat. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- qwen2_audio
- Access
- Public
- Created
- Jun 14, 2026
- Updated
- Jun 14, 2026
- SHA
- 3c470e43
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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. -->
dpo-temporal-armA-ts-sampled
This model was trained from scratch on an unknown 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: 1e-06
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- 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: linear
- num_epochs: 1
Training results
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu118
- Datasets 3.6.0
- Tokenizers 0.21.4
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2_audio
- Created
- Jun 14, 2026
- Updated
- Jun 14, 2026