Model: mlfoundations-cua-dev/qwen2_5vl_3b_sft_idm_syntheticr_synthetic_text_overlay_yt_labeled_data Source: Original Platform
library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | other | Qwen/Qwen2.5-VL-3B-Instruct |
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qwen2_5vl_3b_sft_idm_synthetic_websites_synthetic_editor_synthetic_text_overlay_yt_labeled_data
This model is a fine-tuned version of Qwen/Qwen2.5-VL-3B-Instruct on the synthetic-websites-idm-data, the synthetic-editor-idm-data, the synthetic-text-overlay-idm-data and the yt-labeled-idm-data datasets.
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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.52.4
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
Description
Model synced from source: mlfoundations-cua-dev/qwen2_5vl_3b_sft_idm_syntheticr_synthetic_text_overlay_yt_labeled_data
Languages
Jinja
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