---
base_model: ambrosfitz/tiny-summary-v2
tags:
- generated_from_trainer
model-index:
- name: fine-tuned-tiny-summary-v2
  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. -->

# fine-tuned-tiny-summary-v2

This model is a fine-tuned version of [ambrosfitz/tiny-summary-v2](https://huggingface.co/ambrosfitz/tiny-summary-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0644

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.3065        | 0.2183 | 500  | 1.2462          |
| 1.2737        | 0.4367 | 1000 | 1.1660          |
| 1.4422        | 0.6550 | 1500 | 1.1347          |
| 1.2923        | 0.8734 | 2000 | 1.1160          |
| 1.393         | 1.0917 | 2500 | 1.1044          |
| 1.0732        | 1.3100 | 3000 | 1.0930          |
| 1.1855        | 1.5284 | 3500 | 1.0828          |
| 1.0891        | 1.7467 | 4000 | 1.0761          |
| 1.1869        | 1.9651 | 4500 | 1.0754          |
| 1.1216        | 2.1834 | 5000 | 1.0702          |
| 1.2007        | 2.4017 | 5500 | 1.0692          |
| 1.1125        | 2.6201 | 6000 | 1.0644          |
| 1.2241        | 2.8384 | 6500 | 1.0644          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1