Jlonge4/outputs
Browse files- README.md +2 -3
- adapter_config.json +5 -5
- adapter_model.safetensors +2 -2
- runs/Jun13_02-39-21_84b89b73e769/events.out.tfevents.1718246362.84b89b73e769.2447.0 +3 -0
- runs/Jun13_02-42-49_84b89b73e769/events.out.tfevents.1718246570.84b89b73e769.4299.0 +3 -0
- runs/Jun13_02-46-47_84b89b73e769/events.out.tfevents.1718246809.84b89b73e769.5292.0 +3 -0
- training_args.bin +1 -1
README.md
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 10
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- training_steps:
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- mixed_precision_training: Native AMP
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### Training results
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### Training hyperparameters
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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: 2
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 10
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- training_steps: 150
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### Training results
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adapter_config.json
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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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"k_proj",
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"q_proj",
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"
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"
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"v_proj",
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"
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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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"q_proj",
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"o_proj",
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"k_proj",
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"gate_proj",
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"v_proj",
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"down_proj",
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"up_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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runs/Jun13_02-39-21_84b89b73e769/events.out.tfevents.1718246362.84b89b73e769.2447.0
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runs/Jun13_02-42-49_84b89b73e769/events.out.tfevents.1718246570.84b89b73e769.4299.0
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runs/Jun13_02-46-47_84b89b73e769/events.out.tfevents.1718246809.84b89b73e769.5292.0
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training_args.bin
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