yoon commited on
Commit
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1 Parent(s): 90a09a6

Training in progress, step 100

Browse files
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README.md CHANGED
@@ -1,19 +1,24 @@
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  ---
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- license: mit
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- base_model: TheBloke/zephyr-7B-alpha-GPTQ
 
 
 
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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- - name: zephyr-support-chatbot
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # zephyr-support-chatbot
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- This model is a fine-tuned version of [TheBloke/zephyr-7B-alpha-GPTQ](https://huggingface.co/TheBloke/zephyr-7B-alpha-GPTQ) on the None dataset.
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  ## Model description
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@@ -33,12 +38,14 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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- - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
 
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: cosine
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- - training_steps: 250
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  - mixed_precision_training: Native AMP
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  ### Training results
@@ -47,7 +54,8 @@ The following hyperparameters were used during training:
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  ### Framework versions
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- - Transformers 4.35.2
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- - Pytorch 2.1.0+cu118
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- - Datasets 2.15.0
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- - Tokenizers 0.15.0
 
 
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  ---
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+ base_model: beomi/gemma-ko-2b
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+ datasets:
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+ - arrow
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+ library_name: peft
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+ license: other
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  tags:
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+ - trl
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+ - sft
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  - generated_from_trainer
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  model-index:
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+ - name: outputs
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # outputs
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+ This model is a fine-tuned version of [beomi/gemma-ko-2b](https://huggingface.co/beomi/gemma-ko-2b) on the arrow dataset.
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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+ - train_batch_size: 1
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  - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 4
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - training_steps: 3000
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  ### Framework versions
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+ - PEFT 0.11.1
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+ - Transformers 4.42.4
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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