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---
license: apache-2.0
base_model: google/bit-50
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: bit-50
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.085
---
<!-- 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. -->
# bit-50
This model is a fine-tuned version of [google/bit-50](https://huggingface.co/google/bit-50) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 7122385408.0
- Accuracy: 0.085
## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 5528748032.0 | 1.0 | 50 | 7122386944.0 | 0.085 |
| 5155133849.6 | 2.0 | 100 | 7122386944.0 | 0.085 |
| 5068722995.2 | 3.0 | 150 | 7122386944.0 | 0.085 |
| 5613660569.6 | 4.0 | 200 | 7122385408.0 | 0.085 |
| 7499937382.4 | 5.0 | 250 | 7122385408.0 | 0.085 |
| 5806654259.2 | 6.0 | 300 | 7122385408.0 | 0.085 |
| 5483250483.2 | 7.0 | 350 | 7122385408.0 | 0.085 |
| 6852667392.0 | 8.0 | 400 | 7122385408.0 | 0.085 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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