---
license: mit
base_model: allistair99/bert-base-uncased-ADVQA36K-V1
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-BiLSTM-Optiparam-ADVQA36K-V14-frozen
  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-uncased-BiLSTM-Optiparam-ADVQA36K-V14-frozen

This model is a fine-tuned version of [allistair99/bert-base-uncased-ADVQA36K-V1](https://huggingface.co/allistair99/bert-base-uncased-ADVQA36K-V1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9453

## 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: 3e-05
- train_batch_size: 6
- eval_batch_size: 60
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3329        | 1.0   | 1670 | 3.6399          |
| 0.2887        | 2.0   | 3340 | 3.7883          |
| 0.7836        | 3.0   | 5010 | 3.9453          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1