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type2_pos_1
tjkmitl/type2_pos_1
type2_pos_1 is a machine learning model from tjkmitl. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- mt5
- Access
- Public
- Created
- Apr 10, 2024
- Updated
- Apr 10, 2024
- SHA
- d51843e5
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. -->
type2_pos_1
This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9319
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7093 | 0.63 | 500 | 2.9195 |
| 3.2641 | 1.25 | 1000 | 2.7276 |
| 2.3791 | 1.88 | 1500 | 2.6590 |
| 2.4823 | 2.51 | 2000 | 2.6422 |
| 2.3649 | 3.14 | 2500 | 2.6791 |
| 1.8109 | 3.76 | 3000 | 2.6492 |
| 1.7853 | 4.39 | 3500 | 2.6922 |
| 1.5986 | 5.02 | 4000 | 2.7080 |
| 1.71 | 5.65 | 4500 | 2.7670 |
| 1.6342 | 6.27 | 5000 | 2.8096 |
| 1.6734 | 6.9 | 5500 | 2.8439 |
| 1.4521 | 7.53 | 6000 | 2.8824 |
| 1.3753 | 8.16 | 6500 | 2.8878 |
| 1.8335 | 8.78 | 7000 | 2.9046 |
| 1.276 | 9.41 | 7500 | 2.9319 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- mt5
- Created
- Apr 10, 2024
- Updated
- Apr 10, 2024