---
library_name: transformers
license: mit
base_model: jla25/results
tags:
- generated_from_trainer
model-index:
- name: square1.2
  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. -->

# square1.2

This model is a fine-tuned version of [jla25/results](https://huggingface.co/jla25/results) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0074

## 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-06
- 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
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 75   | 0.0286          |
| No log        | 2.0   | 150  | 0.0172          |
| No log        | 3.0   | 225  | 0.0129          |
| No log        | 4.0   | 300  | 0.0103          |
| No log        | 5.0   | 375  | 0.0088          |
| No log        | 6.0   | 450  | 0.0082          |
| 0.0187        | 7.0   | 525  | 0.0078          |
| 0.0187        | 8.0   | 600  | 0.0076          |
| 0.0187        | 9.0   | 675  | 0.0074          |
| 0.0187        | 10.0  | 750  | 0.0074          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Tokenizers 0.19.1