metadata
license: mit
base_model: microsoft/kosmos-2-patch14-224
tags:
- generated_from_trainer
model-index:
- name: kosm-checkpoint
results: []
kosm-checkpoint
This model is a fine-tuned version of microsoft/kosmos-2-patch14-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0458
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0497 | 200 | 0.1075 |
| 1.077 | 0.0993 | 400 | 0.0816 |
| 0.0909 | 0.1490 | 600 | 0.0634 |
| 0.0731 | 0.1986 | 800 | 0.0531 |
| 0.0626 | 0.2483 | 1000 | 0.0482 |
| 0.0626 | 0.2979 | 1200 | 0.0458 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.19.1