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
results: []
mt5-base-qaqg-finetuned-TydiQA-id
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: 0.8334
- Rouge1: 0.5212
- Rouge2: 0.3529
- Rougel: 0.5187
- Rougelsum: 0.5196
- Bleu: 0.3354
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 |
|---|---|---|---|---|---|---|---|---|
| 1.5538 | 1.0 | 1141 | 0.9977 | 0.4486 | 0.2915 | 0.4465 | 0.4476 | 0.2792 |
| 1.1151 | 2.0 | 2282 | 0.8848 | 0.4774 | 0.3098 | 0.4745 | 0.4753 | 0.3047 |
| 0.9266 | 3.0 | 3423 | 0.8454 | 0.5026 | 0.3348 | 0.5003 | 0.5014 | 0.3183 |
| 0.8067 | 4.0 | 4564 | 0.8357 | 0.5149 | 0.3440 | 0.5127 | 0.5133 | 0.3270 |
| 0.739 | 5.0 | 5705 | 0.8334 | 0.5212 | 0.3529 | 0.5187 | 0.5196 | 0.3354 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 2.21.0
- Tokenizers 0.19.1