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-sentence
results: []
mt5-base-qaqg-finetuned-TydiQA-id-sentence
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: 0.9982
- Rouge1: 0.4799
- Rouge2: 0.3113
- Rougel: 0.4778
- Rougelsum: 0.4778
- Bleu: 0.2994
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 |
|---|---|---|---|---|---|---|---|---|
| 1.7487 | 1.0 | 1211 | 1.1641 | 0.4047 | 0.2424 | 0.4030 | 0.4030 | 0.2102 |
| 1.2998 | 2.0 | 2422 | 1.0454 | 0.4615 | 0.2952 | 0.4598 | 0.4594 | 0.2809 |
| 1.042 | 3.0 | 3633 | 1.0082 | 0.4701 | 0.2956 | 0.4681 | 0.4687 | 0.2796 |
| 0.9393 | 4.0 | 4844 | 0.9964 | 0.4824 | 0.3091 | 0.4803 | 0.4803 | 0.2992 |
| 0.8503 | 5.0 | 6055 | 0.9982 | 0.4799 | 0.3113 | 0.4778 | 0.4778 | 0.2994 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 2.21.0
- Tokenizers 0.19.1