---
license: apache-2.0
base_model: EleutherAI/pythia-70m-deduped
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [EleutherAI/pythia-70m-deduped](https://huggingface.co/EleutherAI/pythia-70m-deduped) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2691

## 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: 100
- eval_batch_size: 100
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.852         | 0.1   | 1    | 3.1074          |
| 3.0923        | 0.2   | 2    | 2.3879          |
| 2.3371        | 0.3   | 3    | 2.1025          |
| 2.1166        | 0.4   | 4    | 1.9761          |
| 2.0538        | 0.5   | 5    | 1.8446          |
| 1.8972        | 0.6   | 6    | 1.7470          |
| 1.8356        | 0.7   | 7    | 1.6615          |
| 1.702         | 0.8   | 8    | 1.6187          |
| 1.6907        | 0.9   | 9    | 1.6626          |
| 1.5877        | 1.0   | 10   | 1.6192          |
| 1.6332        | 1.1   | 11   | 1.5464          |
| 1.4906        | 1.2   | 12   | 1.5091          |
| 1.5267        | 1.3   | 13   | 1.4850          |
| 1.4857        | 1.4   | 14   | 1.4572          |
| 1.4247        | 1.5   | 15   | 1.4319          |
| 1.4815        | 1.6   | 16   | 1.4207          |
| 1.3584        | 1.7   | 17   | 1.4092          |
| 1.4812        | 1.8   | 18   | 1.4196          |
| 1.4381        | 1.9   | 19   | 1.4021          |
| 1.453         | 2.0   | 20   | 1.4013          |
| 1.3468        | 2.1   | 21   | 1.3781          |
| 1.3327        | 2.2   | 22   | 1.3598          |
| 1.3623        | 2.3   | 23   | 1.3516          |
| 1.2876        | 2.4   | 24   | 1.3384          |
| 1.374         | 2.5   | 25   | 1.3366          |
| 1.3863        | 2.6   | 26   | 1.3265          |
| 1.3327        | 2.7   | 27   | 1.3186          |
| 1.2886        | 2.8   | 28   | 1.3130          |
| 1.3842        | 2.9   | 29   | 1.3024          |
| 1.3105        | 3.0   | 30   | 1.2986          |
| 1.2331        | 3.1   | 31   | 1.2966          |
| 1.3227        | 3.2   | 32   | 1.2954          |
| 1.2923        | 3.3   | 33   | 1.2928          |
| 1.2976        | 3.4   | 34   | 1.2901          |
| 1.3207        | 3.5   | 35   | 1.2879          |
| 1.2455        | 3.6   | 36   | 1.2834          |
| 1.2546        | 3.7   | 37   | 1.2779          |
| 1.2999        | 3.8   | 38   | 1.2744          |
| 1.2484        | 3.9   | 39   | 1.2723          |
| 1.281         | 4.0   | 40   | 1.2720          |
| 1.2134        | 4.1   | 41   | 1.2722          |
| 1.214         | 4.2   | 42   | 1.2721          |
| 1.3031        | 4.3   | 43   | 1.2715          |
| 1.2174        | 4.4   | 44   | 1.2708          |
| 1.2359        | 4.5   | 45   | 1.2703          |
| 1.2578        | 4.6   | 46   | 1.2699          |
| 1.2815        | 4.7   | 47   | 1.2695          |
| 1.2866        | 4.8   | 48   | 1.2693          |
| 1.2878        | 4.9   | 49   | 1.2691          |
| 1.2214        | 5.0   | 50   | 1.2691          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0