---
license: mit
base_model: allistair99/tinybert-6l-768d-BiLSTM-finetuned-squad-optiparam
tags:
- generated_from_trainer
datasets:
- srh_test66
model-index:
- name: tinybert-6l-768d-squad2-finetuned-SRH-v2-BiLSTM-finetuned-SRH-optiparam-unfrozen-v3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tinybert-6l-768d-squad2-finetuned-SRH-v2-BiLSTM-finetuned-SRH-optiparam-unfrozen-v3

This model is a fine-tuned version of [allistair99/tinybert-6l-768d-BiLSTM-finetuned-squad-optiparam](https://huggingface.co./allistair99/tinybert-6l-768d-BiLSTM-finetuned-squad-optiparam) on the srh_test66 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8185

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 42   | 1.8908          |
| No log        | 2.0   | 84   | 1.7989          |
| No log        | 3.0   | 126  | 1.8185          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1