metadata

library_name: transformers
license: mit
base_model: microsoft/git-base
tags:
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: git-base-new-one-entrance-dungeons-10
    results: []

git-base-new-one-entrance-dungeons-10

This model is a fine-tuned version of microsoft/git-base on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 9.0467
Wer Score: 54.9

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_steps: 10
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Score
10.5358	6.6667	10	9.0467	54.9

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1