---
license: mit
base_model: prajjwal1/bert-medium
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: bert_medium_Goodreads_Books_Reviews
  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_medium_Goodreads_Books_Reviews

This model is a fine-tuned version of [prajjwal1/bert-medium](https://huggingface.co/prajjwal1/bert-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8175
- F1: 0.6058
- Accuracy: 0.6523

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|
| 0.8393        | 1.0   | 12657 | 0.8355          | 0.5960 | 0.6430   |
| 0.7965        | 2.0   | 25314 | 0.8175          | 0.6058 | 0.6523   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2