| | --- |
| | license: mit |
| | base_model: microsoft/deberta-v3-xsmall |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - FineWebSentences |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: Deberta-FineWebEdu |
| | results: |
| | - task: |
| | name: Masked Language Modeling |
| | type: fill-mask |
| | dataset: |
| | name: FineWebSentences |
| | type: FineWebSentences |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.4905470376215008 |
| | --- |
| | |
| | # Deberta-FineWebEdu |
| |
|
| | This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall) on the FineWebSentences dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 3.4314 |
| | - Accuracy: 0.4905 |
| |
|
| | ## Model description |
| |
|
| | Finetuned on sentences from randomly chosen [HuggingFaceFW/fineweb-edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu) entries. |
| |
|
| | ## Intended uses & limitations |
| |
|
| | To be finetuned on more tasks involving English sentences. |
| |
|
| | <!-- ## Training and evaluation data --> |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 5e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3.0 |
| |
|
| | ### Training results |
| |
|
| | The evaluation and training losses were similar indicating no overfitting. |
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.39.3 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
|
