Model save
Browse files- README.md +66 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: distilbert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: tinybert_base_train_kd
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# tinybert_base_train_kd
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 63.0908
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- Accuracy: 0.5510
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 96
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- eval_batch_size: 96
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- seed: 10
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 10000
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- num_epochs: 25
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-------:|:-----:|:---------------:|:--------:|
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| 447.3158 | 4.1982 | 10000 | 428.8420 | 0.1658 |
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| 151.7919 | 8.3963 | 20000 | 135.7859 | 0.4816 |
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| 95.9257 | 12.5945 | 30000 | 84.8065 | 0.5308 |
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| 78.7736 | 16.7926 | 40000 | 70.8755 | 0.5468 |
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| 70.9704 | 20.9908 | 50000 | 63.0908 | 0.5510 |
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### Framework versions
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- Transformers 4.51.2
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- Pytorch 2.6.0+cu126
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- Datasets 3.5.0
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- Tokenizers 0.21.1
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model.safetensors
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