metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_base_boun_split_first_v2
results: []
md_mt5_base_boun_split_first_v2
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4874
- Bleu: 0.5931
- Gen Len: 18.7836
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 14.1813 | 1.0 | 975 | 2.7812 | 1.1085 | 18.9862 |
| 2.9943 | 2.0 | 1950 | 1.4463 | 1.4366 | 18.7331 |
| 1.9645 | 3.0 | 2925 | 1.0962 | 0.5916 | 18.7738 |
| 1.5852 | 4.0 | 3900 | 0.8990 | 0.5837 | 18.6944 |
| 1.3504 | 5.0 | 4875 | 0.7589 | 0.5952 | 18.7164 |
| 1.1926 | 6.0 | 5850 | 0.6843 | 0.6057 | 18.7367 |
| 1.0963 | 7.0 | 6825 | 0.6291 | 0.5969 | 18.7197 |
| 1.0192 | 8.0 | 7800 | 0.5902 | 0.6007 | 18.7428 |
| 0.9537 | 9.0 | 8775 | 0.5614 | 0.5879 | 18.7492 |
| 0.9127 | 10.0 | 9750 | 0.5366 | 0.5871 | 18.7667 |
| 0.8705 | 11.0 | 10725 | 0.5166 | 0.5841 | 18.7718 |
| 0.8472 | 12.0 | 11700 | 0.5041 | 0.5869 | 18.7777 |
| 0.8312 | 13.0 | 12675 | 0.4963 | 0.5917 | 18.7821 |
| 0.8243 | 14.0 | 13650 | 0.4890 | 0.5944 | 18.7838 |
| 0.8099 | 15.0 | 14625 | 0.4874 | 0.5931 | 18.7836 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0