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emendes3
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llava_13b_neighborhood_synthetic

PEFT
Safetensors
llava_llama
Generated from Trainer
4-bit precision
bitsandbytes
Model card Files Community
emendes3 commited on
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Files changed (8) hide show
  1. README.md +6 -14
  2. adapter_config.json +5 -5
  3. adapter_model.safetensors +1 -1
  4. num_examples=200/llava-v1.5-13b_1.0/adapter_config.json +5 -5
  5. num_examples=200/llava-v1.5-13b_1.0/adapter_model.safetensors +1 -1
  6. num_examples=200/llava-v1.5-13b_1.0/training_args.bin +1 -1
  7. trainer_state.json +0 -0
  8. training_args.bin +1 -1
README.md CHANGED
@@ -1,27 +1,19 @@
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  ---
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  library_name: peft
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  tags:
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- - liuhaotian/llava-v1.5-13b_20.0
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  - generated_from_trainer
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  base_model: liuhaotian/llava-v1.5-13b
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  model-index:
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- - name: liuhaotian/llava-v1.5-13b_20.0
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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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- # liuhaotian/llava-v1.5-13b_20.0
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- This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b_20.0](https://huggingface.co/liuhaotian/llava-v1.5-13b_20.0) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - eval_loss: 0.0103
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- - eval_runtime: 97.7014
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- - eval_samples_per_second: 8.874
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- - eval_steps_per_second: 0.563
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- - epoch: 19.0
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- - step: 1045
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  ## Model description
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@@ -45,9 +37,9 @@ The following hyperparameters were used during training:
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  - eval_batch_size: 4
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  - seed: 42
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  - distributed_type: multi-GPU
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- - num_devices: 4
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- - total_train_batch_size: 16
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- - total_eval_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: cosine
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  - lr_scheduler_warmup_ratio: 0.03
 
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  ---
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  library_name: peft
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  tags:
 
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  - generated_from_trainer
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  base_model: liuhaotian/llava-v1.5-13b
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  model-index:
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+ - name: llava_13b_neighborhood_synthetic
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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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+ # llava_13b_neighborhood_synthetic
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+ This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13b) on an unknown dataset.
 
 
 
 
 
 
 
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  ## Model description
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  - eval_batch_size: 4
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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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+ - total_train_batch_size: 32
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+ - total_eval_batch_size: 32
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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_ratio: 0.03
adapter_config.json CHANGED
@@ -20,13 +20,13 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
 
 
 
 
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  "down_proj",
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- "gate_proj",
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- "up_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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  "use_dora": false,
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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+ "v_proj",
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+ "k_proj",
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+ "up_proj",
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+ "q_proj",
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  "o_proj",
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  "down_proj",
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  "use_dora": false,
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num_examples=200/llava-v1.5-13b_1.0/adapter_config.json CHANGED
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
 
 
 
 
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  "use_dora": false,
 
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  "revision": null,
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  "target_modules": [
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