metadata
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: git-base-cartoon
results: []
git-base-cartoon
This model is a fine-tuned version of microsoft/git-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0646
- Bleu Score: 0.0501
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 | Bleu Score |
|---|---|---|---|---|
| 7.4395 | 1.7544 | 50 | 4.7486 | 0.0011 |
| 2.8193 | 3.5088 | 100 | 0.9704 | 0.0094 |
| 0.4044 | 5.2632 | 150 | 0.1138 | 0.0588 |
| 0.0733 | 7.0175 | 200 | 0.0661 | 0.0438 |
| 0.0434 | 8.7719 | 250 | 0.0646 | 0.0501 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1