metadata
library_name: transformers
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: mt5-base-qaqg-finetuned-TydiQA-id-ir
results: []
mt5-base-qaqg-finetuned-TydiQA-id-ir
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: 0.9007
- Rouge1: 0.4926
- Rouge2: 0.3259
- Rougel: 0.4912
- Rougelsum: 0.4911
- Bleu: 0.3015
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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu |
|---|---|---|---|---|---|---|---|---|
| 1.6088 | 1.0 | 1141 | 1.0599 | 0.4352 | 0.2720 | 0.4327 | 0.4333 | 0.2659 |
| 1.1827 | 2.0 | 2282 | 0.9369 | 0.4694 | 0.3076 | 0.4678 | 0.4680 | 0.2926 |
| 1.0025 | 3.0 | 3423 | 0.9135 | 0.4860 | 0.3209 | 0.4837 | 0.4844 | 0.2974 |
| 0.8714 | 4.0 | 4564 | 0.9017 | 0.4880 | 0.3204 | 0.4863 | 0.4868 | 0.3041 |
| 0.8084 | 5.0 | 5705 | 0.9007 | 0.4926 | 0.3259 | 0.4912 | 0.4911 | 0.3015 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 2.21.0
- Tokenizers 0.19.1