---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: rating_prediction_model
  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. -->

# rating_prediction_model

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6080
- Accuracy: 0.4022

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2129        | 0.5   | 221  | 1.9791          | 0.3623   |
| 1.9749        | 1.0   | 442  | 1.9713          | 0.3681   |
| 1.8605        | 1.5   | 663  | 1.9283          | 0.3856   |
| 1.8295        | 2.0   | 884  | 1.8659          | 0.3952   |
| 1.5815        | 2.5   | 1105 | 2.0720          | 0.3453   |
| 1.5545        | 3.01  | 1326 | 2.0883          | 0.4167   |
| 1.3294        | 3.51  | 1547 | 2.2009          | 0.3976   |
| 1.2954        | 4.01  | 1768 | 2.3456          | 0.3961   |
| 1.0684        | 4.51  | 1989 | 2.6093          | 0.4058   |


### Framework versions

- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2