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Model save

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  1. README.md +19 -9
  2. adapter_config.json +6 -11
  3. adapter_model.bin +2 -2
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [meta-llama/Llama-3.2-11B-Vision](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3441
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  ## Model description
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@@ -48,18 +48,28 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.0743 | 0.1 | 5 | 1.3437 |
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- | 1.135 | 0.2 | 10 | 1.3584 |
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- | 1.071 | 0.3 | 15 | 1.3599 |
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- | 0.9413 | 0.4 | 20 | 1.3664 |
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- | 1.0465 | 0.5 | 25 | 1.3513 |
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- | 0.8599 | 0.6 | 30 | 1.3441 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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- - PEFT 0.15.1
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- - Transformers 4.48.3
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  - Pytorch 2.7.0a0+7c8ec84dab.nv25.03
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  - Datasets 3.5.0
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  - Tokenizers 0.21.1
 
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  This model is a fine-tuned version of [meta-llama/Llama-3.2-11B-Vision](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3393
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.873 | 0.1 | 5 | 1.6084 |
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+ | 1.6055 | 0.2 | 10 | 1.5360 |
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+ | 2.0931 | 0.3 | 15 | 1.4717 |
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+ | 1.3995 | 0.4 | 20 | 1.4390 |
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+ | 1.4799 | 0.5 | 25 | 1.4170 |
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+ | 1.2999 | 0.6 | 30 | 1.3999 |
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+ | 1.6356 | 0.7 | 35 | 1.3855 |
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+ | 1.3253 | 0.8 | 40 | 1.3713 |
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+ | 1.4132 | 0.9 | 45 | 1.3630 |
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+ | 1.4824 | 1.0 | 50 | 1.3557 |
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+ | 1.0958 | 1.1 | 55 | 1.3478 |
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+ | 1.3437 | 1.2 | 60 | 1.3490 |
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+ | 1.3517 | 1.3 | 65 | 1.3459 |
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+ | 1.0089 | 1.4 | 70 | 1.3415 |
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+ | 1.1556 | 1.5 | 75 | 1.3369 |
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+ | 1.3741 | 1.6 | 80 | 1.3393 |
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  ### Framework versions
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+ - PEFT 0.10.0
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+ - Transformers 4.47.0
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  - Pytorch 2.7.0a0+7c8ec84dab.nv25.03
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  - Datasets 3.5.0
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  - Tokenizers 0.21.1
adapter_config.json CHANGED
@@ -6,9 +6,6 @@
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  },
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  "base_model_name_or_path": "meta-llama/Llama-3.2-11B-Vision",
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  "bias": "none",
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- "corda_config": null,
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- "eva_config": null,
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- "exclude_modules": null,
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  "fan_in_fan_out": false,
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  "inference_mode": true,
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  "init_lora_weights": "gaussian",
@@ -17,7 +14,6 @@
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  "layers_to_transform": null,
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  "loftq_config": {},
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  "lora_alpha": 16,
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- "lora_bias": false,
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  "lora_dropout": 0.1,
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  "megatron_config": null,
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  "megatron_core": "megatron.core",
@@ -27,20 +23,19 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "mlp.gate_proj",
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  "mlp.up_proj",
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  "self_attn.k_proj",
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- "self_attn.q_proj",
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  "cross_attn.q_proj",
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- "self_attn.v_proj",
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  "mlp.down_proj",
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- "cross_attn.v_proj",
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- "cross_attn.o_proj",
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  "cross_attn.k_proj",
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- "self_attn.o_proj"
 
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  ],
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  "task_type": null,
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- "trainable_token_indices": null,
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  "use_dora": true,
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  "use_rslora": false
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  }
 
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  },
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  "base_model_name_or_path": "meta-llama/Llama-3.2-11B-Vision",
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  "bias": "none",
 
 
 
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  "fan_in_fan_out": false,
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  "inference_mode": true,
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  "init_lora_weights": "gaussian",
 
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  "layers_to_transform": null,
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  "loftq_config": {},
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  "lora_alpha": 16,
 
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  "lora_dropout": 0.1,
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  "megatron_config": null,
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  "megatron_core": "megatron.core",
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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+ "cross_attn.o_proj",
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  "mlp.up_proj",
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  "self_attn.k_proj",
 
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  "cross_attn.q_proj",
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+ "self_attn.o_proj",
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  "mlp.down_proj",
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+ "self_attn.q_proj",
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+ "self_attn.v_proj",
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  "cross_attn.k_proj",
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+ "cross_attn.v_proj",
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+ "mlp.gate_proj"
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  ],
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  "task_type": null,
 
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  "use_dora": true,
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  "use_rslora": false
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  }
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