---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: wvangils/DistilGPT2-Beatles-Lyrics-finetuned
model-index:
- name: DistilGPT2-Beatles-Spotify-FinalVersion
  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. -->

# DistilGPT2-Beatles-Spotify-FinalVersion

This model is a fine-tuned version of [wvangils/DistilGPT2-Beatles-Lyrics-finetuned](https://huggingface.co/wvangils/DistilGPT2-Beatles-Lyrics-finetuned) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8839

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1125        | 0.0   | 25   | 1.9245          |
| 2.1035        | 0.0   | 50   | 1.9315          |
| 2.1064        | 0.0   | 75   | 1.9184          |
| 2.0874        | 0.0   | 100  | 1.9101          |
| 2.0948        | 0.0   | 125  | 1.9143          |
| 2.1088        | 0.0   | 150  | 1.8953          |
| 2.0612        | 0.01  | 175  | 1.9130          |
| 2.0828        | 0.01  | 200  | 1.9046          |
| 2.0676        | 0.01  | 225  | 1.8950          |
| 2.072         | 0.01  | 250  | 1.9092          |
| 2.0748        | 0.01  | 275  | 1.8814          |
| 2.0769        | 0.01  | 300  | 1.8948          |
| 2.068         | 0.01  | 325  | 1.8921          |
| 2.0513        | 0.01  | 350  | 1.8904          |
| 2.0686        | 0.01  | 375  | 1.8794          |
| 2.0702        | 0.01  | 400  | 1.8800          |
| 2.059         | 0.01  | 425  | 1.8780          |
| 2.0562        | 0.01  | 450  | 1.8841          |
| 2.0705        | 0.01  | 475  | 1.8824          |
| 2.0675        | 0.02  | 500  | 1.8839          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 1.13.1
- Datasets 2.17.0
- Tokenizers 0.15.2