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backup_0202_llamafactory_AA_preference_cosi_0_50-llava-mistral
htlou/backup_0202_llamafactory_AA_preference_cosi_0_50-llava-mistral
backup_0202_llamafactory_AA_preference_cosi_0_50-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 4, 2025
- Updated
- Feb 4, 2025
- SHA
- 942718c6
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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_cosi_0_50
This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the AA_preference_cosi_0_50 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5580
- Rewards/chosen: 1.1191
- Rewards/rejected: -1.7161
- Rewards/accuracies: 0.8125
- Rewards/margins: 2.8352
- Logps/rejected: -229.3270
- Logps/chosen: -253.4991
- Logits/rejected: -2.2872
- Logits/chosen: -2.3146
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5248 | 0.7463 | 50 | 0.5636 | 0.7981 | -0.7376 | 0.7625 | 1.5357 | -219.5417 | -256.7093 | -2.1893 | -2.2123 |
| 0.2521 | 1.4925 | 100 | 0.5887 | 1.3477 | -1.2511 | 0.8042 | 2.5988 | -224.6767 | -251.2128 | -2.3607 | -2.3766 |
| 0.1273 | 2.2388 | 150 | 0.5529 | 1.1944 | -1.5829 | 0.8250 | 2.7773 | -227.9948 | -252.7459 | -2.2852 | -2.3106 |
| 0.1289 | 2.9851 | 200 | 0.5586 | 1.1189 | -1.7195 | 0.8125 | 2.8384 | -229.3605 | -253.5011 | -2.2866 | -2.3140 |
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 4, 2025
- Updated
- Feb 4, 2025