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duyphu
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380bc76e-f068-4938-8563-66819cf1d4af

PEFT
Safetensors
phi3
axolotl
Generated from Trainer
custom_code
Model card Files
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 Community
duyphu commited on
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End of training

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Files changed (2) hide show
  1. README.md +11 -4
  2. adapter_model.bin +1 -1
README.md CHANGED
@@ -65,7 +65,7 @@ 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: 1
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  micro_batch_size: 2
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  mlflow_experiment_name: /tmp/a46d02fc217c0509_train_data.json
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  model_type: AutoModelForCausalLM
@@ -90,7 +90,7 @@ wandb_name: da5a59e4-b4e2-40cf-906c-59fc8d44af6a
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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  wandb_runid: da5a59e4-b4e2-40cf-906c-59fc8d44af6a
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- warmup_steps: 1
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  weight_decay: 0.0
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  xformers_attention: null
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@@ -101,6 +101,8 @@ xformers_attention: null
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  # 380bc76e-f068-4938-8563-66819cf1d4af
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  This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on the None dataset.
 
 
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  ## Model description
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@@ -127,14 +129,19 @@ 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: 2
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- - training_steps: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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  | No log | 0.0007 | 1 | 5.1141 |
 
 
 
 
 
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  ### Framework versions
 
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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/a46d02fc217c0509_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: da5a59e4-b4e2-40cf-906c-59fc8d44af6a
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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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  # 380bc76e-f068-4938-8563-66819cf1d4af
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  This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.2988
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  ## Model description
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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: 50
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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  | No log | 0.0007 | 1 | 5.1141 |
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+ | 19.9015 | 0.0068 | 10 | 4.7637 |
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+ | 15.6149 | 0.0137 | 20 | 3.2703 |
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+ | 9.8552 | 0.0205 | 30 | 2.5106 |
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+ | 7.8637 | 0.0274 | 40 | 2.3464 |
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+ | 10.2621 | 0.0342 | 50 | 2.2988 |
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  ### Framework versions
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
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  size 50424202
 
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