| | --- |
| | library_name: peft |
| | base_model: voidful/llm-codec |
| | tags: |
| | - base_model:adapter:voidful/llm-codec |
| | - lora |
| | - transformers |
| | pipeline_tag: text-generation |
| | model-index: |
| | - name: llmcodec-librispeech |
| | 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. --> |
| |
|
| | # llmcodec-librispeech |
| |
|
| | This model is a fine-tuned version of [voidful/llm-codec](https://huggingface.co/voidful/llm-codec) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 8.7129 |
| |
|
| | ## 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: 1 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 8.8157 | 1.0 | 35156 | 8.7129 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.18.0 |
| | - Transformers 4.57.3 |
| | - Pytorch 2.9.0.dev20250629+cu128 |
| | - Datasets 2.14.6 |
| | - Tokenizers 0.22.1 |
