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duyphu
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64d858fd-0ea9-bb1f-71f7-76dcd02f019f

PEFT
Safetensors
llama
axolotl
Generated from Trainer
Model card Files
xet
 Community
duyphu commited on
Commit
8059935
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1 Parent(s): a2f88dd

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/293e226e7a29f643_train_data.json
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  model_type: AutoModelForCausalLM
@@ -93,7 +93,7 @@ wandb_name: 72a36dda-e812-42e4-b673-bc90ec9902f2
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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  wandb_runid: 72a36dda-e812-42e4-b673-bc90ec9902f2
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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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@@ -104,6 +104,8 @@ xformers_attention: null
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  # 64d858fd-0ea9-bb1f-71f7-76dcd02f019f
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  This model is a fine-tuned version of [Maykeye/TinyLLama-v0](https://huggingface.co/Maykeye/TinyLLama-v0) on the None dataset.
 
 
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  ## Model description
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@@ -130,14 +132,19 @@ 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 | 0.0016 | 1 | 10.1529 |
 
 
 
 
 
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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/293e226e7a29f643_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: 72a36dda-e812-42e4-b673-bc90ec9902f2
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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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  # 64d858fd-0ea9-bb1f-71f7-76dcd02f019f
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  This model is a fine-tuned version of [Maykeye/TinyLLama-v0](https://huggingface.co/Maykeye/TinyLLama-v0) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 9.7021
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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 | 0.0016 | 1 | 10.1529 |
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+ | 10.1142 | 0.0156 | 10 | 10.0973 |
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+ | 10.0241 | 0.0312 | 20 | 9.9229 |
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+ | 9.7681 | 0.0468 | 30 | 9.7857 |
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+ | 9.6924 | 0.0624 | 40 | 9.7155 |
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+ | 9.709 | 0.0780 | 50 | 9.7021 |
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  ### Framework versions
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
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  size 416906
 
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