---
base_model: EleutherAI/pythia-14m
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: pythia-14m-imdb-sentiment-20240729_031828
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/lklab_kaist/pythia-14m-imdb-sentiment/runs/5cdsyszv)
# pythia-14m-imdb-sentiment-20240729_031828

This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/EleutherAI/pythia-14m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2606
- Accuracy: 0.891
- F1: 0.8925
- Precision: 0.8805
- Recall: 0.9048

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.3715        | 1.0   | 782  | 0.3372          | 0.8540   | 0.8638 | 0.8095    | 0.926  |
| 0.234         | 2.0   | 1564 | 0.2606          | 0.891    | 0.8925 | 0.8805    | 0.9048 |
| 0.1667        | 3.0   | 2346 | 0.2820          | 0.8955   | 0.8951 | 0.8988    | 0.8914 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1