metadata
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: speller-t5
results: []
speller-t5
This model is a fine-tuned version of summervent/speller-t5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3569
- Rouge1: 14.5717
- Rouge2: 5.4522
- Rougel: 14.6057
- Rougelsum: 14.7357
- Gen Len: 30.8324
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: 5e-05
- 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.6467 | 0.22 | 1500 | 0.3569 | 14.5717 | 5.4522 | 14.6057 | 14.7357 | 30.8324 |
| 0.6408 | 0.44 | 3000 | 0.3569 | 14.5717 | 5.4522 | 14.6057 | 14.7357 | 30.8324 |
| 0.6343 | 0.66 | 4500 | 0.3569 | 14.5717 | 5.4522 | 14.6057 | 14.7357 | 30.8324 |
| 0.6372 | 0.87 | 6000 | 0.3569 | 14.5717 | 5.4522 | 14.6057 | 14.7357 | 30.8324 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2