metadata
library_name: transformers
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-ie-budquo-finetuned
results: []
t5-ie-budquo-finetuned
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: 0.0376
- Rouge1: 0.1256
- Rouge2: 0.1059
- Rougel: 0.1253
- Rougelsum: 0.1250
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.1216 | 0.9995 | 551 | 0.0391 | 0.1297 | 0.1077 | 0.1294 | 0.1297 |
| 0.0418 | 1.9991 | 1102 | 0.0176 | 0.1310 | 0.1114 | 0.1310 | 0.1312 |
| 0.0277 | 2.9986 | 1653 | 0.0141 | 0.1311 | 0.1117 | 0.1314 | 0.1313 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1