| | --- |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - Hartunka/processed_wikitext-103-raw-v1-km-5_v2 |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: tiny_bert_km_5_v2 |
| | results: |
| | - task: |
| | name: Masked Language Modeling |
| | type: fill-mask |
| | dataset: |
| | name: Hartunka/processed_wikitext-103-raw-v1-km-5_v2 |
| | type: Hartunka/processed_wikitext-103-raw-v1-km-5_v2 |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.2284850539639487 |
| | --- |
| | |
| | <!-- 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_km_5_v2 |
| |
|
| | This model is a fine-tuned version of [](https://huggingface.co/) on the Hartunka/processed_wikitext-103-raw-v1-km-5_v2 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 5.4958 |
| | - Accuracy: 0.2285 |
| |
|
| | ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 10000 |
| | - num_epochs: 25 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-------:|:-----:|:---------------:|:--------:| |
| | | 6.435 | 4.1982 | 10000 | 6.3815 | 0.1489 | |
| | | 6.1783 | 8.3963 | 20000 | 6.3055 | 0.1532 | |
| | | 6.0524 | 12.5945 | 30000 | 6.2819 | 0.1547 | |
| | | 5.7467 | 16.7926 | 40000 | 5.9122 | 0.1815 | |
| | | 5.4323 | 20.9908 | 50000 | 5.5983 | 0.2250 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.40.0 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 3.5.0 |
| | - Tokenizers 0.19.1 |
| | |
