metadata
license: bsd-3-clause
tags:
- generated_from_trainer
metrics:
- rouge
base_model: pszemraj/long-t5-tglobal-base-16384-book-summary
model-index:
- name: long-t5-tglobal-base-16384-book-summary-finetuned-dialogsum
results: []
long-t5-tglobal-base-16384-book-summary-finetuned-dialogsum
This model is a fine-tuned version of pszemraj/long-t5-tglobal-base-16384-book-summary on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 2.0
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 3115 | nan | 25.3388 | 5.7186 | 18.439 | 21.6766 | 53.338 |
| 0.0 | 2.0 | 6230 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1