End of training
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README.md
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# New_video_llava_qlora
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This model is a fine-tuned version of [LanguageBind/Video-LLaVA-7B-hf](https://huggingface.co/LanguageBind/Video-LLaVA-7B-hf) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.8629
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## Model description
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps:
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 8.1798 | 0.2985 | 10 | 8.2246 |
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| 7.2412 | 0.5970 | 20 | 7.3507 |
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| 6.8157 | 0.8955 | 30 | 7.0556 |
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| 6.4395 | 1.1940 | 40 | 6.9667 |
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| 6.7558 | 1.4925 | 50 | 6.8976 |
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| 6.6077 | 1.7910 | 60 | 6.8629 |
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### Framework versions
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# New_video_llava_qlora
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This model is a fine-tuned version of [LanguageBind/Video-LLaVA-7B-hf](https://huggingface.co/LanguageBind/Video-LLaVA-7B-hf) on an unknown dataset.
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## Model description
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Training results
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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"target_modules": [
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"
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"task_type": "CAUSAL_LM"
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"rank_pattern": {},
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"target_modules": [
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"task_type": "CAUSAL_LM"
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}
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