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End of training

Browse files
README.md CHANGED
@@ -14,8 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
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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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@@ -38,22 +36,14 @@ The following hyperparameters were used during training:
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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: 2
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- - total_train_batch_size: 4
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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: 2
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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
adapter_config.json CHANGED
@@ -16,10 +16,10 @@
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  "target_modules": [
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- "o_proj",
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  "k_proj",
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- "v_proj"
 
 
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  ],
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  "task_type": "CAUSAL_LM"
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  }
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
 
 
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  "k_proj",
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  ],
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  "task_type": "CAUSAL_LM"
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  }
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