---
license: apache-2.0
base_model: EleutherAI/pythia-410m-deduped
tags:
- generated_from_trainer
model-index:
- name: databricks-dolly-15k-pythia-410m-deduped
  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. -->

# databricks-dolly-15k-pythia-410m-deduped

This model is a fine-tuned version of [EleutherAI/pythia-410m-deduped](https://huggingface.co/EleutherAI/pythia-410m-deduped) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0108

## 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
- 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
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| No log        | 1.0   | 1501  | 2.0141          |
| 1.9792        | 2.0   | 3002  | 2.0016          |
| 1.9792        | 3.0   | 4503  | 2.0007          |
| 1.8117        | 4.0   | 6004  | 2.0033          |
| 1.8117        | 5.0   | 7505  | 2.0066          |
| 1.7612        | 6.0   | 9006  | 2.0075          |
| 1.7612        | 7.0   | 10507 | 2.0092          |
| 1.7469        | 8.0   | 12008 | 2.0110          |
| 1.7469        | 9.0   | 13509 | 2.0110          |
| 1.7438        | 10.0  | 15010 | 2.0108          |


### Framework versions

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