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HW_DL_10_Competitions_v3
kirilica/HW_DL_10_Competitions_v3
HW_DL_10_Competitions_v3 is a machine learning model from kirilica. 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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Updated Dec 7, 2024
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Dec 6, 2024
- Updated
- Dec 7, 2024
- SHA
- d654cb16
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. -->
HW_DL_10_Competitions_v3
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5848
- F1: 0.5196
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 4.2324 | 1.0 | 563 | 1.5848 | 0.5196 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.21.0
- Library
- transformers
- Created
- Dec 6, 2024
- Updated
- Dec 7, 2024