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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: other
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+ base_model: Qwen/Qwen2.5-7B-Instruct
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+ tags:
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+ - llama-factory
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+ - full
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+ - generated_from_trainer
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+ model-index:
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+ - name: b2_code_fasttext_pos_all_neg_sql
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+ results: []
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+ ---
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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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+
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+ # b2_code_fasttext_pos_all_neg_sql
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+
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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 mlfoundations-dev/b2_code_fasttext_pos_all_neg_sql dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 4e-05
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+ - train_batch_size: 1
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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: 32
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 256
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 5.0
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.1
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+ - Pytorch 2.6.0a0+ecf3bae40a.nv25.01
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+ - Datasets 3.5.0
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+ - Tokenizers 0.20.3
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+ {
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+ "epoch": 5.0,
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+ "total_flos": 3.9653987591515013e+18,
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+ "train_loss": 0.49109085100865074,
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+ "train_runtime": 32140.9544,
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+ "train_samples_per_second": 4.916,
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+ "train_steps_per_second": 0.038
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+ }
config.json CHANGED
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  {
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- "_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
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  "architectures": [
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  "Qwen2ForCausalLM"
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  ],
 
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  {
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+ "_name_or_path": "/p/data1/mmlaion/dcft/hub/models--Qwen--Qwen2.5-7B-Instruct/snapshots/a09a35458c702b33eeacc393d103063234e8bc28",
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  "architectures": [
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  "Qwen2ForCausalLM"
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  ],
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+ "top_k": 20,
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+ "top_p": 0.8,
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+ "transformers_version": "4.46.1"
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+ }
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