| --- |
| license: apache-2.0 |
| base_model: distilbert-base-uncased |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: ctrltokyo/llm_prompt_mask_fill_model |
| results: [] |
| datasets: |
| - sahil2801/code_instructions_120k |
| metrics: |
| - accuracy |
| language: |
| - en |
| widget: |
| - text: "A web application with a REST API on Rails. This will be used for [MASK]." |
| --- |
| |
| <!-- This model card has been generated automatically according to the information Keras had access to. You should |
| probably proofread and complete it, then remove this comment. --> |
|
|
| # ctrltokyo/llm_prompt_mask_fill_model |
|
|
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the [code_instructions_120k](https://huggingface.co/datasets/sahil2801/code_instructions_120k) dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 2.1215 |
| - Validation Loss: 1.5672 |
| - Epoch: 0 |
|
|
| ## Model description |
|
|
| It's just distilbert-base-uncased with some fine tuning. |
|
|
| ## Intended uses & limitations |
|
|
| This model could be used for live autocompletion of PROMPTS in a coding-specific chatbot. Don't try this on code, because it won't work. |
|
|
| ## Training and evaluation data |
|
|
| Evaluated on 5% of training data. No further evaluation performed at this point. Trained on NVIDIA V100. |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 108, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000} |
| - training_precision: mixed_float16 |
| |
| ### Training results |
| |
| | Train Loss | Validation Loss | Epoch | |
| |:----------:|:---------------:|:-----:| |
| | 2.1215 | 1.5672 | 0 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.31.0 |
| - TensorFlow 2.12.0 |
| - Datasets 2.14.1 |
| - Tokenizers 0.13.3 |
