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library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- gokulsrinivasagan/processed_wikitext-103-raw-v1-ld
metrics:
- accuracy
model-index:
- name: tinybert_base_train_kd
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokulsrinivasagan/processed_wikitext-103-raw-v1-ld
type: gokulsrinivasagan/processed_wikitext-103-raw-v1-ld
metrics:
- name: Accuracy
type: accuracy
value: 0.5510538509351868
---
<!-- 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. -->
# tinybert_base_train_kd
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the gokulsrinivasagan/processed_wikitext-103-raw-v1-ld dataset.
It achieves the following results on the evaluation set:
- Loss: 62.6034
- Accuracy: 0.5511
## 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: 0.0001
- train_batch_size: 96
- eval_batch_size: 96
- seed: 10
- 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
- lr_scheduler_warmup_steps: 10000
- num_epochs: 25
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 447.3158 | 4.1982 | 10000 | 428.8420 | 0.1658 |
| 151.7919 | 8.3963 | 20000 | 135.7859 | 0.4816 |
| 95.9257 | 12.5945 | 30000 | 84.8065 | 0.5308 |
| 78.7736 | 16.7926 | 40000 | 70.8755 | 0.5468 |
| 70.9704 | 20.9908 | 50000 | 63.0908 | 0.5510 |
### Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1
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