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model:
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model_type: 'selective_pt'
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model_name: "facebook/opt-2.7b"
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load_bit: 16
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peft_type: "prompt_tuning"
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K: 4
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peft_config:
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num_virtual_tokens: 8
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normalizer: linear
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normalizer_on: ['prompt', 'lm']
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training:
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learning_rate: 1e-5
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batch_size: 32
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num_epochs: 1
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mode: causal
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only_longest: False
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task_type: generate_response
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log_dir: runs_prompt_convai2_selective_linear
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contrastive: true
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ensemble: true
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selective_loss_weight: 0.4
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contrastive_metric: bleu
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contrastive_threshold: 20.0
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contrastive_weight: 0.4
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freeze_persona: yes
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freeze_context: yes
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|
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dataset:
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train: data_file/ConvAI2/train_self_original_no_cands.txt
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valid: data_file/ConvAI2/valid_self_original_no_cands.txt
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max_context_turns: -1
|
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max_token_length: 512 |