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--- |
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library_name: transformers |
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license: other |
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base_model: llava-hf/llava-v1.6-mistral-7b-hf |
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tags: |
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- llama-factory |
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- full |
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- generated_from_trainer |
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model-index: |
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- name: AA_text_image_to_text |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# AA_text_image_to_text |
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This model is a fine-tuned version of [llava-hf/llava-v1.6-mistral-7b-hf](https://huggingface.co/llava-hf/llava-v1.6-mistral-7b-hf) on the AA_text_image_to_text dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4527 |
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- Rewards/chosen: -0.6857 |
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- Rewards/rejected: -4.3940 |
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- Rewards/accuracies: 0.8165 |
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- Rewards/margins: 3.7083 |
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- Logps/rejected: -242.1480 |
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- Logps/chosen: -207.1762 |
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- Logits/rejected: -2.3240 |
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- Logits/chosen: -2.3485 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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- total_eval_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.4889 | 0.2899 | 40 | 0.4642 | 1.1544 | -0.1887 | 0.7944 | 1.3431 | -200.0950 | -188.7752 | -1.9876 | -2.0351 | |
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| 0.3941 | 0.5797 | 80 | 0.4218 | -0.2275 | -2.2919 | 0.8044 | 2.0644 | -221.1273 | -202.5944 | -1.9449 | -1.9901 | |
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| 0.3717 | 0.8696 | 120 | 0.4387 | -0.2101 | -2.4885 | 0.8286 | 2.2784 | -223.0936 | -202.4208 | -2.0902 | -2.1229 | |
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| 0.1459 | 1.1594 | 160 | 0.4288 | -0.4029 | -3.3928 | 0.8286 | 2.9899 | -232.1363 | -204.3488 | -2.2733 | -2.3007 | |
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| 0.1455 | 1.4493 | 200 | 0.4255 | -0.5338 | -3.6331 | 0.8165 | 3.0992 | -234.5387 | -205.6577 | -2.2466 | -2.2697 | |
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| 0.1358 | 1.7391 | 240 | 0.4247 | -0.2714 | -3.6715 | 0.8327 | 3.4001 | -234.9227 | -203.0333 | -2.3605 | -2.3806 | |
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| 0.0938 | 2.0290 | 280 | 0.4128 | -0.3136 | -3.7007 | 0.8266 | 3.3870 | -235.2147 | -203.4556 | -2.3725 | -2.3933 | |
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| 0.0592 | 2.3188 | 320 | 0.4438 | -0.5767 | -4.1235 | 0.8165 | 3.5467 | -239.4429 | -206.0869 | -2.3109 | -2.3358 | |
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| 0.0673 | 2.6087 | 360 | 0.4553 | -0.6264 | -4.3005 | 0.8206 | 3.6740 | -241.2126 | -206.5837 | -2.3254 | -2.3497 | |
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| 0.0728 | 2.8986 | 400 | 0.4520 | -0.6855 | -4.3942 | 0.8185 | 3.7087 | -242.1503 | -207.1744 | -2.3247 | -2.3492 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.20.3 |
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