File size: 1,298 Bytes
0c1ccfe c0b1267 0c1ccfe c0b1267 0c1ccfe c0b1267 0c1ccfe c0b1267 0c1ccfe c0b1267 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 |
---
base_model: MingZhong/DialogLED-base-16384
tags:
- generated_from_trainer
- conversatoin_summarizer
model-index:
- name: DialogLED-large-5120-QMSum-finetuned
results: []
datasets:
- pszemraj/qmsum-cleaned
pipeline_tag: summarization
---
<!-- 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. -->
# DialogLED-large-5120-QMSum-finetuned
This model is a fine-tuned version of [MingZhong/DialogLED-base-16384](https://huggingface.co/MingZhong/DialogLED-base-16384) on the QMSum dataset.
## Model description
More information needed
## Intended uses & limitations
Dialogue summarization
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
### Training results
### Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |