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: 1.2691
- Rouge1: 0.5
- Rouge2: 0.0
- Rougel: 0.5
- Rougelsum: 0.5
- Gen Len: 15.4375
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 18.2411 | 1.0 | 20 | 10.6528 | 0.0 | 0.0 | 0.0 | 0.0 | 5.8125 |
| 13.9385 | 2.0 | 40 | 8.9008 | 1.0 | 0.0 | 1.0 | 1.0 | 9.1625 |
| 11.4717 | 3.0 | 60 | 6.5627 | 1.0 | 0.0 | 1.0 | 1.0 | 15.575 |
| 8.354 | 4.0 | 80 | 3.7240 | 1.0 | 0.0 | 1.0 | 1.0 | 17.55 |
| 6.7029 | 5.0 | 100 | 2.6658 | 1.5 | 0.0 | 1.5 | 1.5 | 18.6 |
| 5.3487 | 6.0 | 120 | 1.8080 | 0.0 | 0.0 | 0.0 | 0.0 | 18.625 |
| 4.3308 | 7.0 | 140 | 1.4764 | 1.0 | 0.0 | 1.0 | 1.0 | 17.225 |
| 3.9161 | 8.0 | 160 | 1.3390 | 1.0 | 0.0 | 1.0 | 1.0 | 15.9875 |
| 3.2566 | 9.0 | 180 | 1.2843 | 0.5 | 0.0 | 0.5 | 0.5 | 15.6625 |
| 3.2432 | 10.0 | 200 | 1.2691 | 0.5 | 0.0 | 0.5 | 0.5 | 15.4375 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1