namesarnav/causalbench_code-bert-base-uncased

1---2library_name: transformers3license: apache-2.04base_model: bert-base-uncased5tags:6- generated_from_trainer7metrics:8- accuracy9model-index:10- name: causalbench_code-bert-base-uncased11  results: []12---13 14<!-- This model card has been generated automatically according to the information the Trainer had access to. You15should probably proofread and complete it, then remove this comment. -->16 17# causalbench_code-bert-base-uncased18 19This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.20It achieves the following results on the evaluation set:21- Loss: 0.569122- Accuracy: 0.708023- Macro F1: 0.703024 25## Model description26 27More information needed28 29## Intended uses & limitations30 31More information needed32 33## Training and evaluation data34 35More information needed36 37## Training procedure38 39### Training hyperparameters40 41The following hyperparameters were used during training:42- learning_rate: 2e-0543- train_batch_size: 1644- eval_batch_size: 3245- seed: 4246- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments47- lr_scheduler_type: linear48- lr_scheduler_warmup_steps: 10049- num_epochs: 550 51### Training results52 53| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |54|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|55| No log        | 1.0   | 393  | 0.5905          | 0.6985   | 0.6954   |56| 0.6177        | 2.0   | 786  | 0.5688          | 0.7080   | 0.7030   |57| 0.5476        | 3.0   | 1179 | 0.5918          | 0.7048   | 0.7017   |58| 0.4672        | 4.0   | 1572 | 0.6354          | 0.7017   | 0.6920   |59| 0.4672        | 5.0   | 1965 | 0.6883          | 0.7010   | 0.6948   |60 61 62### Framework versions63 64- Transformers 5.17.065- Pytorch 2.14.0+cu13066- Datasets 3.6.067- Tokenizers 0.23.268