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Upload folder using huggingface_hub

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README.md CHANGED
@@ -7,14 +7,14 @@ tags:
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  - lora
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  - generated_from_trainer
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  model-index:
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- - name: train_2024-11-18_128_256
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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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- # train_2024-11-18_128_256
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  This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mydata14 dataset.
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@@ -37,12 +37,12 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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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: 2
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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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  - num_epochs: 2.0
 
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  - lora
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  - generated_from_trainer
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  model-index:
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+ - name: train_2024-11-18_128_256_01
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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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+ # train_2024-11-18_128_256_01
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  This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mydata14 dataset.
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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  - train_batch_size: 8
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+ - eval_batch_size: 2
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  - seed: 42
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  - distributed_type: multi-GPU
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  - num_devices: 2
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  - total_train_batch_size: 16
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+ - total_eval_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: cosine
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  - num_epochs: 2.0
adapter_config.json CHANGED
@@ -16,17 +16,17 @@
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  "megatron_core": "megatron.core",
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  "v_proj",
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- "q_proj",
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  "o_proj",
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- "gate_proj"
 
 
 
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
 
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  "megatron_core": "megatron.core",
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  "modules_to_save": null,
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  "peft_type": "LORA",
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+ "r": 32,
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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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  "v_proj",
 
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  "o_proj",
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+ "gate_proj",
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+ "up_proj",
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+ "q_proj",
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+ "k_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
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