---
tags:
- generated_from_trainer
datasets:
- ottomoritz/TriboliumCastaneum
model-index:
- name: your_output_dir
  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. -->

# your_output_dir

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

## 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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 1000
- training_steps: 120000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step   | Validation Loss |
|:-------------:|:------:|:------:|:---------------:|
| 1.217         | 0.0833 | 10000  | nan             |
| 1.1568        | 0.1667 | 20000  | nan             |
| 1.1522        | 0.25   | 30000  | nan             |
| 1.1443        | 0.3333 | 40000  | nan             |
| 1.1404        | 0.4167 | 50000  | nan             |
| 1.1329        | 0.5    | 60000  | nan             |
| 1.1323        | 0.5833 | 70000  | nan             |
| 1.1292        | 0.6667 | 80000  | nan             |
| 1.1264        | 0.75   | 90000  | nan             |
| 1.1312        | 0.8333 | 100000 | nan             |
| 1.1305        | 0.9167 | 110000 | nan             |
| 1.1285        | 1.0    | 120000 | nan             |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1