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train_2
Thalesian/train_2
train_2 is a machine learning model from Thalesian. 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
- t5
- Access
- Public
- Created
- Dec 16, 2024
- Updated
- Apr 17, 2025
- SHA
- a8202c98
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. -->
train_2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1153
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: 1e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_APEX_FUSED with betas=(0.826646043090655,0.991636944120939) and epsilon=3.4341677539323e-07 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0237 | 1.0 | 18731 | 0.1124 |
| 0.0216 | 2.0 | 37462 | 0.1128 |
| 0.0201 | 3.0 | 56193 | 0.1153 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu126
- Datasets 3.3.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- t5
- Created
- Dec 16, 2024
- Updated
- Apr 17, 2025