Muhammad7865253
commited on
Commit
•
deb8e2a
1
Parent(s):
484c706
Update model_config.json
Browse files- model_config.json +13 -8
model_config.json
CHANGED
@@ -19,7 +19,8 @@
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"bias": "none",
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"use_gradient_checkpointing": "unsloth",
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"random_state": 3407,
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"use_rslora": false
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},
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"training_args": {
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"per_device_train_batch_size": 4,
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@@ -27,8 +28,8 @@
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"warmup_steps": 5,
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"num_train_epochs": 1,
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"learning_rate": 0.0002,
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"fp16":
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"bf16":
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"logging_steps": 1,
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"optim": "adamw_8bit",
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"weight_decay": 0.01,
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@@ -41,17 +42,21 @@
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"dataset_name": "marmikpandya/mental-health",
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"dataset_split": "train",
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"dataset_rows": null,
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"conversation_format":
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"max_seq_length": 2048,
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"train_on_responses_only": false
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},
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"inference_config": {
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"temperature":
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"min_p":
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"max_new_tokens":
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},
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"alpaca_prompt": {
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"template": "If you are a licensed psychologist, please provide this patient with a helpful response to their concern.\n\n### Instruction:\n{}\n\n### Input:\n{}\n\n### Response:\n{}",
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"eos_token": true
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}
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}
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"bias": "none",
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"use_gradient_checkpointing": "unsloth",
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"random_state": 3407,
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"use_rslora": false,
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"loftq_config": null
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},
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"training_args": {
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"per_device_train_batch_size": 4,
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"warmup_steps": 5,
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"num_train_epochs": 1,
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"learning_rate": 0.0002,
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"fp16": false,
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"bf16": true,
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"logging_steps": 1,
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"optim": "adamw_8bit",
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"weight_decay": 0.01,
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"dataset_name": "marmikpandya/mental-health",
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"dataset_split": "train",
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"dataset_rows": null,
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"conversation_format": {
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"instruction": "Provide an instruction to the model, e.g., 'Provide advice on coping with stress.'",
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"input": "Include user details or context, e.g., 'I've been feeling overwhelmed with work and personal responsibilities.'",
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"response": "The model's response based on the instruction and input."
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},
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"max_seq_length": 2048,
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"train_on_responses_only": false
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},
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"inference_config": {
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"temperature": 1.0,
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"min_p": 0.9,
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"max_new_tokens": 512
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},
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"alpaca_prompt": {
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"template": "If you are a licensed psychologist, please provide this patient with a helpful response to their concern.\n\n### Instruction:\n{}\n\n### Input:\n{}\n\n### Response:\n{}",
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"eos_token": true
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}
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}
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