File size: 1,139 Bytes
7f7daa7 17508c9 6c3b017 17508c9 46222a9 17508c9 24c4fe3 7f7daa7 17508c9 24c4fe3 17508c9 24c4fe3 |
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 |
---
base_model: ubaada/lsg-bart-large-4096-booksum
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: lsg-bart-large-4096-booksum
results: []
datasets:
- ubaada/booksum-complete-cleaned
---
# lsg-bart-large-4096-booksum
This model is a fine-tuned version of [ubaada/lsg-bart-large-4096-booksum](https://huggingface.co/ubaada/lsg-bart-large-4096-booksum) on an ubaada/booksum-complete-cleaned dataset.
Validation Loss (Subset of validation dataset) Loss: 2.0742
## 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: 8e-05
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.40.2
- Pytorch 2.2.0
- Datasets 2.19.1
- Tokenizers 0.19.1 |