---
library_name: transformers
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: causalbench_code-t5-base
  results: []
---

<!-- 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. -->

# causalbench_code-t5-base

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5991
- Accuracy: 0.7074
- Macro F1: 0.6990
- Micro F1: 0.7074

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Micro F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|
| No log        | 1.0   | 197  | 0.6302          | 0.6851   | 0.6850   | 0.6851   |
| No log        | 2.0   | 394  | 0.5676          | 0.6915   | 0.6867   | 0.6915   |
| 0.5727        | 3.0   | 591  | 0.5991          | 0.7074   | 0.6990   | 0.7074   |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.11.0+cu130
- Datasets 3.6.0
- Tokenizers 0.21.4