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distilbert-base-uncased-finetuned-MIND
ahdog/distilbert-base-uncased-finetuned-MIND
distilbert-base-uncased-finetuned-MIND is a machine learning model from ahdog. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Aug 27, 2024
- Updated
- Aug 28, 2024
- SHA
- cb4fdedf
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. -->
distilbert-base-uncased-finetuned-MIND
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6220
- Accuracy: 0.8113
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8377 | 1.0 | 1216 | 0.7149 | 0.7789 |
| 0.6573 | 2.0 | 2432 | 0.6283 | 0.8018 |
| 0.5358 | 3.0 | 3648 | 0.6023 | 0.8085 |
| 0.4503 | 4.0 | 4864 | 0.6154 | 0.8093 |
| 0.3865 | 5.0 | 6080 | 0.6220 | 0.8113 |
| 0.3192 | 6.0 | 7296 | 0.6578 | 0.8067 |
| 0.2703 | 7.0 | 8512 | 0.6867 | 0.8039 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 27, 2024
- Updated
- Aug 28, 2024