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End of training

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  1. README.md +4 -11
  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: 50
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  micro_batch_size: 2
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  mlflow_experiment_name: /tmp/f4a6d2ad1888e73f_train_data.json
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  model_type: AutoModelForCausalLM
@@ -91,7 +91,7 @@ wandb_name: f4ceaa19-6420-4b44-a08d-f9e4b1bc8dc3
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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  wandb_runid: f4ceaa19-6420-4b44-a08d-f9e4b1bc8dc3
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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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@@ -102,8 +102,6 @@ xformers_attention: null
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  # f4ceaa19-6420-4b44-a08d-f9e4b1bc8dc3
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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: 1.2440
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  ## Model description
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@@ -130,19 +128,14 @@ 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: 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 | 0.0000 | 1 | 3.2407 |
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- | 8.5399 | 0.0002 | 10 | 1.7466 |
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- | 6.5063 | 0.0003 | 20 | 1.3497 |
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- | 5.1197 | 0.0005 | 30 | 1.2679 |
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- | 5.4107 | 0.0007 | 40 | 1.2511 |
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- | 4.3659 | 0.0009 | 50 | 1.2440 |
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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: 1
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  micro_batch_size: 2
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  mlflow_experiment_name: /tmp/f4a6d2ad1888e73f_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: f4ceaa19-6420-4b44-a08d-f9e4b1bc8dc3
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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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  # f4ceaa19-6420-4b44-a08d-f9e4b1bc8dc3
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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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  - 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 | 0.0000 | 1 | 3.2407 |
 
 
 
 
 
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  ### Framework versions
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
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