transformers tensorboard safetensors bert text-classification generated_from_trainer dataset:glue base_model:ayushmodi12/pretrained_bert_scratch base_model:finetune:ayushmodi12/pretrained_bert_scratch license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
base_model: ayushmodi12/pretrained_bert_scratch
datasets:
- glue
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: pretrained_bert_scratch-finetuned-sst2
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: glue
      type: glue
      config: sst2
      split: validation
      args: sst2
    metrics:
    - type: accuracy
      value: 0.5091743119266054
      name: Accuracy
---

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# pretrained_bert_scratch-finetuned-sst2

This model is a fine-tuned version of [ayushmodi12/pretrained_bert_scratch](https://huggingface.co/ayushmodi12/pretrained_bert_scratch) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7219
- Accuracy: 0.5092

## 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6959        | 1.0   | 4210  | 0.6945          | 0.4908   |
| 0.6945        | 2.0   | 8420  | 0.7219          | 0.5092   |
| 0.6963        | 3.0   | 12630 | 0.7028          | 0.5092   |
| 0.699         | 4.0   | 16840 | 0.6938          | 0.5092   |
| 0.6938        | 5.0   | 21050 | 0.7048          | 0.5092   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
