---
license: apache-2.0
base_model: EleutherAI/pythia-1b-deduped
tags:
- generated_from_trainer
model-index:
- name: pythia-1b-deduped-wiki_r_64_alpha_16
  results: []
---

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# pythia-1b-deduped-wiki_r_64_alpha_16

This model is a fine-tuned version of [EleutherAI/pythia-1b-deduped](https://huggingface.co/EleutherAI/pythia-1b-deduped) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0297

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0892        | 0.3   | 71   | 2.0820          |
| 1.9761        | 0.61  | 142  | 2.0623          |
| 1.9197        | 0.91  | 213  | 2.0522          |
| 1.8748        | 1.21  | 284  | 2.0495          |
| 1.9705        | 1.51  | 355  | 2.0388          |
| 1.946         | 1.82  | 426  | 2.0349          |
| 2.002         | 2.12  | 497  | 2.0329          |
| 1.8831        | 2.42  | 568  | 2.0358          |
| 1.8374        | 2.73  | 639  | 2.0297          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.13.0
- Tokenizers 0.13.3