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md_mt5_base_boun_split_second_v1_retrain_on_boun_1612
Buseak/md_mt5_base_boun_split_second_v1_retrain_on_boun_1612
md_mt5_base_boun_split_second_v1_retrain_on_boun_1612 is a machine learning model from Buseak. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Dec 16, 2023
- Updated
- Dec 16, 2023
- SHA
- b757c441
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
md_mt5_base_boun_split_second_v1_retrain_on_boun_1612
This model is a fine-tuned version of Buseak/md_mt5_base_boun_split_second_v1_retrain_on_second_imst on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1146
- Bleu: 0.7971
- Gen Len: 18.8069
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 |
|---|---|---|---|---|---|
| 0.3542 | 1.0 | 975 | 0.1679 | 0.7453 | 18.7959 |
| 0.3354 | 2.0 | 1950 | 0.1553 | 0.7492 | 18.8033 |
| 0.3183 | 3.0 | 2925 | 0.1500 | 0.7576 | 18.7972 |
| 0.3013 | 4.0 | 3900 | 0.1421 | 0.7618 | 18.7969 |
| 0.2912 | 5.0 | 4875 | 0.1364 | 0.7673 | 18.8005 |
| 0.2816 | 6.0 | 5850 | 0.1321 | 0.7732 | 18.8003 |
| 0.2753 | 7.0 | 6825 | 0.1287 | 0.7825 | 18.8067 |
| 0.2718 | 8.0 | 7800 | 0.1252 | 0.7866 | 18.8051 |
| 0.2631 | 9.0 | 8775 | 0.1222 | 0.7885 | 18.799 |
| 0.2576 | 10.0 | 9750 | 0.1197 | 0.793 | 18.8041 |
| 0.2541 | 11.0 | 10725 | 0.1182 | 0.7935 | 18.8056 |
| 0.2505 | 12.0 | 11700 | 0.1165 | 0.7956 | 18.8056 |
| 0.2492 | 13.0 | 12675 | 0.1156 | 0.7971 | 18.8056 |
| 0.2534 | 14.0 | 13650 | 0.1146 | 0.7964 | 18.8069 |
| 0.2455 | 15.0 | 14625 | 0.1146 | 0.7971 | 18.8069 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Dec 16, 2023
- Updated
- Dec 16, 2023