---
license: apache-2.0
base_model: EleutherAI/pythia-70m
tags:
- generated_from_trainer
model-index:
- name: pythia70M-finetuned-on-lamini-docs
  results: []
inference: false
datasets:
- lamini/lamini_docs
---

<!-- 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. -->

# pythia70M-finetuned-on-lamini-docs

This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/EleutherAI/pythia-70m) on [lamini/lamini_docs](https://huggingface.co/datasets/lamini/lamini_docs) dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0582

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3194        | 0.16  | 50   | 2.4776          |
| 2.3198        | 0.32  | 100  | 2.3780          |
| 2.16          | 0.48  | 150  | 2.2905          |
| 2.2156        | 0.63  | 200  | 2.2450          |
| 2.3342        | 0.79  | 250  | 2.1934          |
| 2.7634        | 0.95  | 300  | 2.1748          |
| 2.4963        | 1.11  | 350  | 2.1500          |
| 2.1493        | 1.27  | 400  | 2.1413          |
| 1.8731        | 1.43  | 450  | 2.1200          |
| 2.0132        | 1.59  | 500  | 2.1030          |
| 1.9606        | 1.75  | 550  | 2.0848          |
| 1.37          | 1.9   | 600  | 2.0659          |
| 1.7681        | 2.06  | 650  | 2.0744          |
| 1.8926        | 2.22  | 700  | 2.0779          |
| 1.2409        | 2.38  | 750  | 2.0683          |
| 1.489         | 2.54  | 800  | 2.0616          |
| 1.5143        | 2.7   | 850  | 2.0604          |
| 1.3736        | 2.86  | 900  | 2.0582          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1