metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_mt5_small_test-finetuned-textdetox
results: []
my_mt5_small_test-finetuned-textdetox
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0016
- Rouge1: 59.8943
- Rouge2: 58.2553
- Rougel: 59.8778
- Rougelsum: 59.8882
- Gen Len: 14.7146
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0833 | 1.0 | 1760 | 0.0017 | 59.883 | 58.2419 | 59.8701 | 59.8806 | 14.7151 |
| 0.0124 | 2.0 | 3520 | 0.0016 | 59.8943 | 58.2553 | 59.8778 | 59.8882 | 14.7146 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1