Multi-modal Agent
Collection
This collection contains checkpoints of multi-modal agents and their MLM baselines.
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33 items
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Updated
mma_idefics2_293k-toolp-seq_length_8192-lr_1e-5
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.43.0
- Pytorch 2.4.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
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Model tree for zixianma/mma_idefics2_293k-toolp-seq_length_8192-lr_1e-5
Base model
HuggingFaceM4/idefics2-8b