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tiny_bert_rand_100_v1_rte
Hartunka/tiny_bert_rand_100_v1_rte
tiny_bert_rand_100_v1_rte is a machine learning model from Hartunka. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- distilbert
- Access
- Public
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025
- SHA
- 3340b1b8
Base models
Datasets
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. -->
tiny_bert_rand_100_v1_rte
This model is a fine-tuned version of Hartunka/tiny_bert_rand_100_v1 on the GLUE RTE dataset. It achieves the following results on the evaluation set:
- Loss: 0.6844
- Accuracy: 0.5632
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: 256
- eval_batch_size: 256
- seed: 10
- 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 |
|---|---|---|---|---|
| 0.7003 | 1.0 | 10 | 0.6884 | 0.5307 |
| 0.6895 | 2.0 | 20 | 0.6844 | 0.5632 |
| 0.6719 | 3.0 | 30 | 0.6904 | 0.5596 |
| 0.618 | 4.0 | 40 | 0.7529 | 0.5668 |
| 0.5321 | 5.0 | 50 | 0.8656 | 0.5487 |
| 0.4247 | 6.0 | 60 | 1.0241 | 0.5126 |
| 0.3081 | 7.0 | 70 | 1.1948 | 0.5054 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.19.1
- Type
- distilbert
- Languages
- en
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025