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backup_0202_llamafactory_AA_preference_l0_new_step10_0_60-llava-mistral
htlou/backup_0202_llamafactory_AA_preference_l0_new_step10_0_60-llava-mistral
backup_0202_llamafactory_AA_preference_l0_new_step10_0_60-llava-mistral is a image-text-to-text model from htlou. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- other
- Model type
- llava_next
- Access
- Public
- Created
- Feb 3, 2025
- Updated
- Feb 3, 2025
- SHA
- 61b96fee
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
AA_preference_l0_new_step10_0_60
This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the AA_preference_l0_new_step10_0_60 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5930
- Rewards/chosen: 0.5295
- Rewards/rejected: -1.8896
- Rewards/accuracies: 0.7917
- Rewards/margins: 2.4190
- Logps/rejected: -242.2141
- Logps/chosen: -237.5954
- Logits/rejected: -2.0873
- Logits/chosen: -2.1246
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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5728 | 0.6231 | 50 | 0.5968 | 0.7303 | -0.4694 | 0.7257 | 1.1997 | -228.0123 | -235.5866 | -2.3844 | -2.3915 |
| 0.2338 | 1.2461 | 100 | 0.6138 | 0.8569 | -1.0717 | 0.7708 | 1.9286 | -234.0351 | -234.3208 | -2.3760 | -2.3908 |
| 0.2653 | 1.8692 | 150 | 0.5830 | 0.4703 | -1.7333 | 0.7847 | 2.2035 | -240.6510 | -238.1874 | -2.0378 | -2.0764 |
| 0.1596 | 2.4922 | 200 | 0.5909 | 0.5892 | -1.8017 | 0.7951 | 2.3909 | -241.3353 | -236.9982 | -2.0980 | -2.1340 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- llava_next
- License
- other
- Created
- Feb 3, 2025
- Updated
- Feb 3, 2025