End of training
Browse files
README.md
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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:
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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-
- total_train_batch_size:
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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: linear
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-
- num_epochs:
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### Training results
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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: 4
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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+
- total_train_batch_size: 8
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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: linear
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+
- num_epochs: 3
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### Training results
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adapter_config.json
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@@ -23,12 +23,12 @@
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"up_proj",
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-
"q_proj",
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"o_proj",
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-
"v_proj",
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"down_proj",
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"k_proj"
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],
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"task_type": "CAUSAL_LM",
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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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"gate_proj",
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"up_proj",
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"o_proj",
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"down_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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adapter_model.safetensors
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runs/Jan30_14-12-50_d50c14c094bd/events.out.tfevents.1738246372.d50c14c094bd.1338.0
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training_args.bin
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