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duyphu
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e98fba32-14f2-4ede-95d2-489fe2e260ed

PEFT
Safetensors
mistral
axolotl
Generated from Trainer
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xet
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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/e7907239bd59ecf9_train_data.json
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  model_type: AutoModelForCausalLM
@@ -91,7 +91,7 @@ wandb_name: 4eb2235b-01b0-4839-96a6-ad0a92176a03
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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  wandb_runid: 4eb2235b-01b0-4839-96a6-ad0a92176a03
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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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  # e98fba32-14f2-4ede-95d2-489fe2e260ed
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  This model is a fine-tuned version of [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-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 | 0.0012 | 1 | 0.7291 |
 
 
 
 
 
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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/e7907239bd59ecf9_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: 4eb2235b-01b0-4839-96a6-ad0a92176a03
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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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  # e98fba32-14f2-4ede-95d2-489fe2e260ed
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  This model is a fine-tuned version of [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4591
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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 | 0.0012 | 1 | 0.7291 |
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+ | 2.8804 | 0.0119 | 10 | 0.5988 |
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+ | 1.9343 | 0.0237 | 20 | 0.5030 |
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+ | 1.9827 | 0.0356 | 30 | 0.4731 |
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+ | 1.5897 | 0.0474 | 40 | 0.4624 |
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+ | 1.7466 | 0.0593 | 50 | 0.4591 |
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  ### Framework versions
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
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