---
library_name: transformers
base_model: gokulsrinivasagan/bert_base_lda_5_v1
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_base_lda_5_v1_rte
  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_base_lda_5_v1_rte

This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6369
- Accuracy: 0.5451

## 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: 5e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 10
- optimizer: Use 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7078        | 1.0   | 10   | 0.6900          | 0.5379   |
| 0.6627        | 2.0   | 20   | 0.6868          | 0.5451   |
| 0.5816        | 3.0   | 30   | 0.7390          | 0.5415   |
| 0.4535        | 4.0   | 40   | 0.8692          | 0.5451   |
| 0.3048        | 5.0   | 50   | 1.0894          | 0.5235   |
| 0.1715        | 6.0   | 60   | 1.3816          | 0.5126   |
| 0.0964        | 7.0   | 70   | 1.6369          | 0.5451   |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3