| | --- |
| | license: apache-2.0 |
| | base_model: distilbert-base-uncased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | model-index: |
| | - name: distilbert-finetuned |
| | results: [] |
| | datasets: |
| | - JeswinMS4/code_text_classifier |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # distilbert-finetuned |
| |
|
| | This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an code-text-classifier dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0033 |
| | - Accuracy: 1.0 |
| | - F1: 1.0 |
| |
|
| | ## Model description |
| |
|
| | Finetuned model of distilbert for intent classification. |
| |
|
| | ## Intended uses & limitations |
| |
|
| | Classify Questions/User's Prompt for either code generation or text generation. |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 2e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:---:| |
| | | 0.2209 | 1.0 | 52 | 0.0111 | 1.0 | 1.0 | |
| | | 0.0114 | 2.0 | 104 | 0.0041 | 1.0 | 1.0 | |
| | | 0.0048 | 3.0 | 156 | 0.0033 | 1.0 | 1.0 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.33.2 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.13.3 |
