mt5-large-ie-budquo-finetuned
This model is a fine-tuned version of google/mt5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0322
- Rouge1: 0.0564
- Rouge2: 0.0299
- Rougel: 0.0562
- Rougelsum: 0.0564
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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 |
|---|---|---|---|---|---|---|---|
| 0.1063 | 0.9998 | 1156 | 0.0669 | 0.1300 | 0.0852 | 0.1264 | 0.1299 |
| 0.0516 | 1.9996 | 2312 | 0.0366 | 0.0609 | 0.0328 | 0.0608 | 0.0608 |
| 0.0338 | 2.9994 | 3468 | 0.0265 | 0.1055 | 0.0668 | 0.1039 | 0.1057 |
| 0.0253 | 4.0 | 4625 | 0.0223 | 0.1245 | 0.0741 | 0.1227 | 0.1246 |
| 0.021 | 4.9989 | 5780 | 0.0206 | 0.1297 | 0.0834 | 0.1268 | 0.1298 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for RamsesDIIP/mt5-large-ie-budquo-finetuned
Base model
google/mt5-large