metadata
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mT5-TextSimp-LT-BatchSize8
results: []
mT5-TextSimp-LT-BatchSize8
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: 0.5250
- Rouge1: 0.0062
- Rouge2: 0.0
- Rougel: 0.0062
- Gen Len: 39.0501
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: 0.0001
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Gen Len |
|---|---|---|---|---|---|---|---|
| 16.3791 | 0.96 | 200 | 11.2580 | 0.0041 | 0.0001 | 0.0041 | 512.0 |
| 1.4082 | 1.91 | 400 | 0.9502 | 0.0237 | 0.0002 | 0.0234 | 39.0501 |
| 0.7272 | 2.87 | 600 | 0.6131 | 0.0033 | 0.0 | 0.0032 | 39.0501 |
| 0.6517 | 3.83 | 800 | 0.5775 | 0.0019 | 0.0 | 0.0018 | 39.0501 |
| 0.6625 | 4.78 | 1000 | 0.5559 | 0.0014 | 0.0 | 0.0014 | 39.0501 |
| 0.5423 | 5.74 | 1200 | 0.5359 | 0.0016 | 0.0 | 0.0016 | 39.0501 |
| 0.7486 | 6.7 | 1400 | 0.5289 | 0.007 | 0.0 | 0.0069 | 39.0501 |
| 0.6712 | 7.66 | 1600 | 0.5250 | 0.0062 | 0.0 | 0.0062 | 39.0501 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.1
- Datasets 2.16.1
- Tokenizers 0.15.0