---
license: apache-2.0
base_model: EleutherAI/pythia-70m
tags:
- generated_from_trainer
model-index:
- name: pythia-70m-sft-function-calling
  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-sft-function-calling

This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/EleutherAI/pythia-70m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9858

## 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: 5
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.2294        | 0.11  | 2000  | 1.2844          |
| 1.115         | 0.22  | 4000  | 1.1689          |
| 1.0368        | 0.33  | 6000  | 1.1194          |
| 1.0346        | 0.44  | 8000  | 1.0797          |
| 0.9951        | 0.55  | 10000 | 1.0522          |
| 0.9832        | 0.66  | 12000 | 1.0325          |
| 0.9931        | 0.77  | 14000 | 1.0093          |
| 0.9502        | 0.88  | 16000 | 0.9944          |
| 0.9649        | 0.99  | 18000 | 0.9858          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1