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no_single_layer_2
iTroned/no_single_layer_2
no_single_layer_2 is a machine learning model from iTroned. 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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Public
Updated Oct 23, 2024
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Oct 23, 2024
- Updated
- Oct 23, 2024
- SHA
- 8e1c790f
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. -->
no_single_layer_2
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3715
accuracy
: 0.8419
f1
: 0.8401
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
accuracy
|
f1
| |:-------------:|:-----:|:----:|:---------------:|:------------:|:------:| | No log | 1.0 | 414 | 0.3741 | 0.8535 | 0.8467 | | 0.4669 | 2.0 | 828 | 0.3761 | 0.8395 | 0.8401 | | 0.375 | 3.0 | 1242 | 0.3715 | 0.8419 | 0.8401 | | 0.3136 | 4.0 | 1656 | 0.4096 | 0.8372 | 0.8354 | | 0.2464 | 5.0 | 2070 | 0.4896 | 0.8209 | 0.8195 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- transformers
- License
- apache-2.0
- Created
- Oct 23, 2024
- Updated
- Oct 23, 2024