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llmcodec-librispeech-abl-ftp
voidful/llmcodec-librispeech-abl-ftp
llmcodec-librispeech-abl-ftp is a machine learning model from voidful. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Model type
- qwen3
- Access
- Public
- Created
- Jan 4, 2026
- Updated
- Jan 10, 2026
- SHA
- c4b15ef2
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. -->
llmcodec-librispeech-abl-ftp
This model is a fine-tuned version of voidful/llm-codec-abl-ftp on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 8.5615
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: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.7126 | 1.0 | 35156 | 8.8477 |
| 8.3702 | 2.0 | 70312 | 8.6207 |
| 8.4569 | 3.0 | 105468 | 8.5615 |
Framework versions
- PEFT 0.15.0
- Transformers 4.57.3
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
- Library
- peft
- Type
- qwen3
- Created
- Jan 4, 2026
- Updated
- Jan 10, 2026