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---
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 |