---
license: apache-2.0
base_model: EleutherAI/pythia-410m
tags:
- generated_from_trainer
model-index:
- name: pythia410m-XYZCompany-1000-steps
  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. -->

# pythia410m-XYZCompany-1000-steps

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: 0.2944

## 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: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2939        | 0.32  | 50   | 0.2774          |
| 0.2993        | 0.63  | 100  | 0.2531          |
| 0.2538        | 0.95  | 150  | 0.2429          |
| 0.1829        | 1.27  | 200  | 0.2393          |
| 0.187         | 1.59  | 250  | 0.2326          |
| 0.1737        | 1.9   | 300  | 0.2308          |
| 0.1195        | 2.22  | 350  | 0.2405          |
| 0.1263        | 2.54  | 400  | 0.2392          |
| 0.1248        | 2.86  | 450  | 0.2374          |
| 0.069         | 3.17  | 500  | 0.2545          |
| 0.08          | 3.49  | 550  | 0.2530          |
| 0.0763        | 3.81  | 600  | 0.2553          |
| 0.0532        | 4.13  | 650  | 0.2690          |
| 0.0465        | 4.44  | 700  | 0.2727          |
| 0.0538        | 4.76  | 750  | 0.2734          |
| 0.037         | 5.08  | 800  | 0.2834          |
| 0.0334        | 5.4   | 850  | 0.2859          |
| 0.0299        | 5.71  | 900  | 0.2872          |
| 0.0318        | 6.03  | 950  | 0.2906          |
| 0.0256        | 6.35  | 1000 | 0.2944          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.17.1
- Tokenizers 0.13.2