| --- |
| license: bigcode-openrail-m |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| datasets: |
| - fals3/methods2test_small |
| metrics: |
| - accuracy |
| base_model: bigcode/starcoderbase |
| model-index: |
| - name: output |
| results: |
| - task: |
| type: text-generation |
| name: Causal Language Modeling |
| dataset: |
| name: fals3/methods2test_small fm+fc+c+m+f+t+tc |
| type: fals3/methods2test_small |
| args: fm+fc+c+m+f+t+tc |
| metrics: |
| - type: accuracy |
| value: 0.72106682199951 |
| name: Accuracy |
| --- |
| |
| <!-- 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. --> |
|
|
| # output |
|
|
| This model is a fine-tuned version of [bigcode/starcoderbase](https://huggingface.co/bigcode/starcoderbase) on the fals3/methods2test_small fm+fc+c+m+f+t+tc dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6379 |
| - Accuracy: 0.7211 |
| |
| ## 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: 0.0003 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 2 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 16 |
| - total_eval_batch_size: 2 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 3.0 |
|
|
| ### Training results |
|
|
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.10.0 |
| - Transformers 4.41.0.dev0 |
| - Pytorch 2.2.1+cu118 |
| - Datasets 2.17.1 |
| - Tokenizers 0.19.1 |
