metadata
library_name: transformers
license: other
license_name: custom
license_link: LICENSE
model_index:
- name: Llama-speechlmm-1.0-l-LIPREAD
base_model:
- meetween/Llama-speechlmm-1.0-l
datasets:
- LRS2-BBC
language:
- en
metrics:
- word error rate (WER)
pipeline_tag: other
Model Information
This is the version of meetween/Llama-speechlmm-1.0-l that was fine-tuned for Lip Reading.
License: see LICENSE
Model Architecture
Identical to the base model. The model was obtained by training LoRA and the modality adapter on the LLM. This repository contains the model weights with LoRA merged into the main weights.
How to Use
Identical to the base model.
Fine-tuning Data
This model has been fine-tuned on the same data from the training data of the base model.
Evaluation Results
Model Name | Word Error Rate |
---|---|
AV-Hubert | 36.41 |
SpeechLMM_v1.0_L | 45.44 |
SpeechLMM_v1.0_L_LIPREAD | 43.06 |
Framework Versions
- Transformers 4.45.0
- Pytorch 2.3.1+cu124.post2
- Datasets 3.2.0
- Tokenizers 0.20.0