transformers tensorboard safetensors gpt_neox text-generation generated_from_trainer base_model:EleutherAI/pythia-410m license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: EleutherAI/pythia-410m
tags:
- generated_from_trainer
model-index:
- name: pythia410m-taylorswift-2000steps
  results: []
---

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# pythia410m-taylorswift-2000steps

This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/EleutherAI/pythia-410m) on [lamini/taylor_swift](https://huggingface.co/datasets/lamini/taylor_swift) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6837

## 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
- distributed_type: tpu
- 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
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8241        | 0.61  | 120  | 1.7255          |
| 1.0032        | 1.23  | 240  | 1.5268          |
| 1.141         | 1.84  | 360  | 1.4654          |
| 0.6062        | 2.45  | 480  | 1.4594          |
| 0.4412        | 3.07  | 600  | 1.4708          |
| 0.4085        | 3.68  | 720  | 1.5156          |
| 0.279         | 4.29  | 840  | 1.5411          |
| 0.2549        | 4.9   | 960  | 1.5015          |
| 0.2972        | 5.52  | 1080 | 1.5476          |
| 0.2389        | 6.13  | 1200 | 1.5731          |
| 0.2217        | 6.74  | 1320 | 1.5751          |
| 0.1253        | 7.36  | 1440 | 1.6184          |
| 0.2071        | 7.97  | 1560 | 1.6103          |
| 0.2004        | 8.58  | 1680 | 1.6501          |
| 0.1017        | 9.2   | 1800 | 1.6778          |
| 0.1549        | 9.81  | 1920 | 1.6837          |


### Framework versions

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