peft safetensors generated_from_trainer base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistral-lyrics-finetune
  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. -->

# mistral-lyrics-finetune

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9357

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8901        | 1.0   | 25   | 2.0092          |
| 1.5447        | 2.0   | 50   | 2.0093          |
| 1.2415        | 3.0   | 75   | 2.1479          |
| 0.8255        | 4.0   | 100  | 2.3764          |
| 0.4885        | 5.0   | 125  | 2.5386          |
| 0.2533        | 6.0   | 150  | 2.7441          |
| 0.1551        | 7.0   | 175  | 2.8726          |
| 0.0971        | 8.0   | 200  | 3.0833          |
| 0.0668        | 9.0   | 225  | 3.2275          |
| 0.047         | 10.0  | 250  | 3.3403          |
| 0.0353        | 11.0  | 275  | 3.3712          |
| 0.0332        | 12.0  | 300  | 3.4045          |
| 0.0256        | 13.0  | 325  | 3.5834          |
| 0.0231        | 14.0  | 350  | 3.5888          |
| 0.0204        | 15.0  | 375  | 3.6828          |
| 0.021         | 16.0  | 400  | 3.7834          |
| 0.0165        | 17.0  | 425  | 3.8463          |
| 0.0162        | 18.0  | 450  | 3.8980          |
| 0.0153        | 19.0  | 475  | 3.9315          |
| 0.0144        | 20.0  | 500  | 3.9357          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1