---
library_name: transformers
license: apache-2.0
base_model: google/bert_uncased_L-8_H-512_A-8
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_uncased_L-8_H-512_A-8-finetuned-rte-run_1
  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. -->

# bert_uncased_L-8_H-512_A-8-finetuned-rte-run_1

This model is a fine-tuned version of [google/bert_uncased_L-8_H-512_A-8](https://huggingface.co/google/bert_uncased_L-8_H-512_A-8) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6754
- Accuracy: 0.5812

## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 39   | 0.6806          | 0.5560   |
| No log        | 2.0   | 78   | 0.6754          | 0.5812   |


### Framework versions

- Transformers 4.50.2
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1