---
library_name: transformers
license: apache-2.0
base_model: vinzur/results
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [vinzur/results](https://huggingface.co/vinzur/results) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3230

## 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: 2
- eval_batch_size: 2
- 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: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 63   | 0.3541          |
| 0.4108        | 2.0   | 126  | 0.3398          |
| 0.4108        | 3.0   | 189  | 0.3230          |
| 0.3148        | 4.0   | 252  | 0.3258          |
| 0.2871        | 5.0   | 315  | 0.3230          |
| 0.2871        | 6.0   | 378  | 0.3288          |
| 0.2468        | 7.0   | 441  | 0.3251          |
| 0.2274        | 8.0   | 504  | 0.3277          |
| 0.2274        | 9.0   | 567  | 0.3306          |
| 0.2103        | 10.0  | 630  | 0.3263          |
| 0.2103        | 11.0  | 693  | 0.3266          |
| 0.2094        | 12.0  | 756  | 0.3285          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1