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tuanna08go
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02b788e2-ce48-401c-a246-259b0d848278

PEFT
Safetensors
llama
axolotl
Generated from Trainer
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xet
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tuanna08go 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
@@ -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: 1
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  micro_batch_size: 2
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  mlflow_experiment_name: /tmp/beda24f33f85def9_train_data.json
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  model_type: AutoModelForCausalLM
@@ -91,7 +91,7 @@ wandb_name: 05309d83-06a7-4938-b829-77c2dcce44c0
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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  wandb_runid: 05309d83-06a7-4938-b829-77c2dcce44c0
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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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@@ -102,6 +102,8 @@ xformers_attention: null
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  # 02b788e2-ce48-401c-a246-259b0d848278
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  This model is a fine-tuned version of [unsloth/Meta-Llama-3.1-8B](https://huggingface.co/unsloth/Meta-Llama-3.1-8B) on the None dataset.
 
 
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  ## Model description
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@@ -128,14 +130,19 @@ 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 | 0.0009 | 1 | 1.9706 |
 
 
 
 
 
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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/beda24f33f85def9_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: 05309d83-06a7-4938-b829-77c2dcce44c0
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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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  # 02b788e2-ce48-401c-a246-259b0d848278
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  This model is a fine-tuned version of [unsloth/Meta-Llama-3.1-8B](https://huggingface.co/unsloth/Meta-Llama-3.1-8B) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8041
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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 | 0.0009 | 1 | 1.9706 |
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+ | 1.8599 | 0.0085 | 10 | 1.9391 |
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+ | 1.7225 | 0.0170 | 20 | 1.8363 |
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+ | 1.6839 | 0.0255 | 30 | 1.8141 |
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+ | 1.823 | 0.0340 | 40 | 1.8062 |
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+ | 1.6495 | 0.0425 | 50 | 1.8041 |
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  ### Framework versions
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
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