metadata
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mT5-TextSimp-LT-BatchSize12-lr5e-5
results: []
mT5-TextSimp-LT-BatchSize12-lr5e-5
This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Gen Len: 0.0
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: 5e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Gen Len |
|---|---|---|---|---|---|---|---|
| 28.0514 | 1.43 | 200 | 21.4337 | 0.0028 | 0.0 | 0.0028 | 512.0 |
| 0.0 | 2.86 | 400 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 4.29 | 600 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 5.71 | 800 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 7.14 | 1000 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.1
- Datasets 2.16.1
- Tokenizers 0.15.0