---
license: apache-2.0
base_model: EleutherAI/pythia-70m-deduped
tags:
- generated_from_trainer
model-index:
- name: pythia-70m-deduped-databricks-dolly-15k-v1
  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. -->

# pythia-70m-deduped-databricks-dolly-15k-v1

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: 5.3362

## 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: 0.01
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 22.5289       | 1.0   | 1501  | 10.2721         |
| 8.5659        | 2.0   | 3002  | 6.0637          |
| 6.1434        | 3.0   | 4503  | 5.6654          |
| 5.735         | 4.0   | 6004  | 5.5859          |
| 5.5524        | 5.0   | 7505  | 5.5399          |
| 5.4368        | 6.0   | 9006  | 5.5221          |
| 5.3728        | 7.0   | 10507 | 5.5221          |
| 5.2796        | 8.0   | 12008 | 5.5022          |
| 5.1963        | 9.0   | 13509 | 5.4812          |
| 5.1361        | 10.0  | 15010 | 5.4652          |
| 5.0767        | 11.0  | 16511 | 5.4530          |
| 5.014         | 12.0  | 18012 | 5.4161          |
| 4.9554        | 13.0  | 19513 | 5.3732          |
| 4.9044        | 14.0  | 21014 | 5.3763          |
| 4.8483        | 15.0  | 22515 | 5.3694          |
| 4.7916        | 16.0  | 24016 | 5.3432          |
| 4.7383        | 17.0  | 25517 | 5.3308          |
| 4.675         | 18.0  | 27018 | 5.3203          |
| 4.6223        | 19.0  | 28519 | 5.3429          |
| 4.5733        | 20.0  | 30020 | 5.3362          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3