---
license: apache-2.0
base_model: EleutherAI/pythia-410m
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: oop_and_text_pythia_410m
  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/zhenwu/code-text-pretraining/runs/5ksxkt02)
# oop_and_text_pythia_410m

This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/EleutherAI/pythia-410m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6151
- Accuracy: 0.2123
- Num Input Tokens Seen: 5873664

## 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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:--------:|:-----------------:|
| No log        | 0      | 0    | 3.0231          | 0.2075   | 0                 |
| 1.8656        | 0.2092 | 50   | 2.0404          | 0.2358   | 409600            |
| 1.8788        | 0.4184 | 100  | 1.8193          | 0.2170   | 819200            |
| 1.7635        | 0.6276 | 150  | 1.6325          | 0.1887   | 1228800           |
| 1.6773        | 0.8368 | 200  | 1.6925          | 0.1887   | 1638400           |
| 1.6309        | 1.0460 | 250  | 1.6849          | 0.1934   | 2048000           |
| 1.5824        | 1.2552 | 300  | 1.8487          | 0.1840   | 2457600           |
| 1.8204        | 1.4644 | 350  | 1.6930          | 0.1887   | 2867200           |
| 1.6639        | 1.6736 | 400  | 1.6967          | 0.2123   | 3276800           |
| 1.5446        | 1.8828 | 450  | 1.6562          | 0.2217   | 3686400           |
| 1.569         | 2.0921 | 500  | 1.6151          | 0.2123   | 4096000           |
| 1.5797        | 2.3013 | 550  | 1.6244          | 0.2311   | 4505600           |
| 1.5543        | 2.5105 | 600  | 1.6461          | 0.2028   | 4915200           |
| 1.5691        | 2.7197 | 650  | 1.6240          | 0.2075   | 5324800           |
| 1.5852        | 2.9289 | 700  | 1.6227          | 0.2170   | 5734400           |


### Framework versions

- Transformers 4.43.2
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1