phungkhaccuong
commited on
End of training
Browse files- README.md +3 -3
- adapter_model.bin +1 -1
README.md
CHANGED
@@ -66,7 +66,7 @@ lora_model_dir: null
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lora_r: 8
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lora_target_linear: true
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lr_scheduler: cosine
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-
max_steps:
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micro_batch_size: 2
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mlflow_experiment_name: /tmp/a67dbd31a5d78ee7_train_data.json
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model_type: AutoModelForCausalLM
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@@ -91,7 +91,7 @@ wandb_name: 3bde66d8-5d53-4d98-a9ec-75d4c9ece376
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wandb_project: Gradients-On-Demand
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wandb_run: your_name
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wandb_runid: 3bde66d8-5d53-4d98-a9ec-75d4c9ece376
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-
warmup_steps:
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weight_decay: 0.0
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xformers_attention: null
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@@ -128,7 +128,7 @@ The following hyperparameters were used during training:
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- total_train_batch_size: 8
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- optimizer: Use OptimizerNames.ADAMW_BNB 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_steps:
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- training_steps: 1
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### Training results
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lora_r: 8
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lora_target_linear: true
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lr_scheduler: cosine
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+
max_steps: 50
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micro_batch_size: 2
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mlflow_experiment_name: /tmp/a67dbd31a5d78ee7_train_data.json
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model_type: AutoModelForCausalLM
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wandb_project: Gradients-On-Demand
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wandb_run: your_name
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wandb_runid: 3bde66d8-5d53-4d98-a9ec-75d4c9ece376
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+
warmup_steps: 10
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weight_decay: 0.0
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xformers_attention: null
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- total_train_batch_size: 8
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- optimizer: Use OptimizerNames.ADAMW_BNB 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_steps: 10
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- training_steps: 1
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### Training results
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adapter_model.bin
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 114234314
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:3b2027ff40b08bdffb3045d063dbe950939e2eaa3a120140fa2fb658071f587c
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size 114234314
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