---
license: apache-2.0
base_model: EleutherAI/pythia-2.8b
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: jeffrey-walker-teal
  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. -->

[<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/arianhosseini/huggingface/runs/vakrdi64)
# jeffrey-walker-teal

This model is a fine-tuned version of [EleutherAI/pythia-2.8b](https://huggingface.co/EleutherAI/pythia-2.8b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.8984
- Accuracy: 0.4

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 16
- seed: 24
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 0.1422        | 8.5561  | 400  | 4.6875          | 0.4      |
| 0.0121        | 17.1123 | 800  | 6.6641          | 0.5      |
| 0.0           | 25.6684 | 1200 | 4.7148          | 0.8      |
| 0.028         | 34.2246 | 1600 | 6.6992          | 0.7      |
| 0.0041        | 42.7807 | 2000 | 7.4570          | 0.4      |
| 0.0021        | 51.3369 | 2400 | 7.8984          | 0.4      |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.1.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1