---
tags:
- generated_from_trainer
datasets:
- nberkowitz/gpn_grass_balanced_v1
model-index:
- name: model
  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. -->

# model

This model is a fine-tuned version of [](https://huggingface.co/) on the nberkowitz/gpn_grass_balanced_v1 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0249

## 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: 64
- eval_batch_size: 512
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 120000

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.0777        | 2.01  | 60000  | 1.0535          |
| 1.0495        | 4.03  | 120000 | 1.0253          |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.4.1
- Datasets 3.1.0
- Tokenizers 0.13.3