---
license: apache-2.0
base_model: allistair99/distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-squad-optiparam
tags:
- generated_from_trainer
datasets:
- srh_test66
model-index:
- name: distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-SRH-optiparam-unfrozen
  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. -->

# distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-SRH-optiparam-unfrozen

This model is a fine-tuned version of [allistair99/distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-squad-optiparam](https://huggingface.co/allistair99/distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-squad-optiparam) on the srh_test66 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6830

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 114  | 1.7223          |
| No log        | 2.0   | 228  | 1.6830          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1