Instructions to use Incomple/Llama-3.1-8B-Instruct_dpo_sg_values with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Incomple/Llama-3.1-8B-Instruct_dpo_sg_values with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "Incomple/Llama-3.1-8B-Instruct_dpo_sg_values") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +3 -2
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +327 -0
- training_loss.png +0 -0
- training_rewards_accuracies.png +0 -0
README.md
CHANGED
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@@ -3,9 +3,10 @@ library_name: peft
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license: llama3.1
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base_model: meta-llama/Llama-3.1-8B-Instruct
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tags:
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- trl
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- dpo
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-
- llama-factory
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- generated_from_trainer
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model-index:
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- name: Llama-3.1-8B-Instruct_dpo_sg_values
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@@ -17,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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# Llama-3.1-8B-Instruct_dpo_sg_values
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-
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on
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## Model description
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license: llama3.1
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base_model: meta-llama/Llama-3.1-8B-Instruct
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tags:
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+
- llama-factory
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- lora
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: Llama-3.1-8B-Instruct_dpo_sg_values
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# Llama-3.1-8B-Instruct_dpo_sg_values
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+
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the dpo_sg_values dataset.
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## Model description
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all_results.json
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{
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"epoch": 0.9996261682242991,
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"total_flos": 1.8353312732676096e+17,
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"train_loss": 0.2906364963049307,
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"train_runtime": 4209.7283,
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"train_samples_per_second": 2.542,
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"train_steps_per_second": 0.318
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}
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train_results.json
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{
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"epoch": 0.9996261682242991,
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"total_flos": 1.8353312732676096e+17,
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"train_loss": 0.2906364963049307,
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"train_runtime": 4209.7283,
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"train_samples_per_second": 2.542,
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"train_steps_per_second": 0.318
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}
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trainer_state.json
ADDED
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