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tuanna08go
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2ef1e1a4-26ca-421b-88f2-e27390147b1d

PEFT
Safetensors
mistral
axolotl
Generated from Trainer
Model card Files
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/6a6ae9c1b6845e52_train_data.json
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  model_type: AutoModelForCausalLM
@@ -91,7 +91,7 @@ wandb_name: cb47792f-209a-4871-b862-65056b897ea9
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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  wandb_runid: cb47792f-209a-4871-b862-65056b897ea9
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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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  # 2ef1e1a4-26ca-421b-88f2-e27390147b1d
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  This model is a fine-tuned version of [unsloth/OpenHermes-2.5-Mistral-7B](https://huggingface.co/unsloth/OpenHermes-2.5-Mistral-7B) 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 | 0.0023 | 1 | 0.6851 |
 
 
 
 
 
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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/6a6ae9c1b6845e52_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: cb47792f-209a-4871-b862-65056b897ea9
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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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  # 2ef1e1a4-26ca-421b-88f2-e27390147b1d
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  This model is a fine-tuned version of [unsloth/OpenHermes-2.5-Mistral-7B](https://huggingface.co/unsloth/OpenHermes-2.5-Mistral-7B) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3513
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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 | 0.0023 | 1 | 0.6851 |
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+ | 2.3579 | 0.0229 | 10 | 0.5222 |
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+ | 1.7548 | 0.0458 | 20 | 0.4075 |
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+ | 1.3894 | 0.0688 | 30 | 0.3714 |
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+ | 1.4878 | 0.0917 | 40 | 0.3555 |
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+ | 1.5293 | 0.1146 | 50 | 0.3513 |
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  ### Framework versions
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
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  size 84047370
 
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  size 84047370