---
library_name: peft
base_model: katuni4ka/tiny-random-falcon-40b
tags:
- axolotl
- generated_from_trainer
model-index:
- name: f9654299-2910-4317-8a79-a3a3b4104211
  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. -->

[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<br>

# f9654299-2910-4317-8a79-a3a3b4104211

This model is a fine-tuned version of [katuni4ka/tiny-random-falcon-40b](https://huggingface.co./katuni4ka/tiny-random-falcon-40b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 9.9715

## 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: 0.00021
- train_batch_size: 4
- eval_batch_size: 4
- seed: 100
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0008 | 1    | 11.0545         |
| 20.6914       | 0.0390 | 50   | 10.3889         |
| 19.7568       | 0.0781 | 100  | 10.1540         |
| 19.6019       | 0.1171 | 150  | 10.0781         |
| 19.5667       | 0.1562 | 200  | 10.0360         |
| 19.3438       | 0.1952 | 250  | 10.0107         |
| 19.4514       | 0.2343 | 300  | 9.9902          |
| 19.3682       | 0.2733 | 350  | 9.9803          |
| 19.5269       | 0.3124 | 400  | 9.9749          |
| 19.3169       | 0.3514 | 450  | 9.9752          |
| 19.3261       | 0.3905 | 500  | 9.9715          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1