metadata
library_name: transformers
tags: []
model_index:
- name: Llama-speechlmm-1.0-l-TSUM
results: []
Model Information
This is the version of meetween/Llama-speechlmm-1.0-l that was fine-tuned for Text Summarization.
License: see LICENSE
Model Architecture
Identical to base model. This model does not include an audio adapter or a video adapter.
This model was obtained by fine-tuning a LoRA on the decoder. This repository contains the weights with the LoRA merged into the main weights.
How to Use
Identical to base model.
Training Data
This model has been fine-tuned on the text summarization data from the AMI and ICSI corpora. Note that the base model was not trained on TSUM, so this is a new task.
Evaluation Results
| Model Name | Topic Segmentation |
Summary of Summaries |
ICSI | AutoMin | ||||
|---|---|---|---|---|---|---|---|---|
| R-1 | R-2 | R-L | R-1 | R-2 | R-L | |||
| Base Model | No | No | 26.2 | 3.2 | 23.3 | 28.3 | 2.9 | 25.9 |
| Base Model | Yes | No | 21.9 | 4.8 | 20.2 | 21.3 | 4.7 | 20.4 |
| Base Model | Yes | Yes | 22.3 | 2.0 | 18.9 | 22.3 | 2.7 | 20.6 |
| +LoRA decoder (this model) | No | No | 32.1 | 4.5 | 24.2 | 31.4 | 4.6 | 29.4 |
| Yes | No | 23.1 | 6.3 | 21.7 | 22.8 | 6.1 | 21.7 | |
| Yes | Yes | 27.9 | 3.6 | 25.8 | 27.7 | 3.8 | 25.9 | |
Framework versions
- Transformers 4.45.0
- Pytorch 2.3.1+cu124.post2
- Datasets 3.2.0
- Tokenizers 0.20.0