|
--- |
|
base_model: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit |
|
library_name: peft |
|
license: llama3.1 |
|
tags: |
|
- trl |
|
- sft |
|
- unsloth |
|
- generated_from_trainer |
|
model-index: |
|
- name: meta-llama-Meta-Llama-3.1-8B-Instruct_SFT_E1_D10001 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/nicola-er-ho/clembench-playpen-sft/runs/rk7joyu8) |
|
# meta-llama-Meta-Llama-3.1-8B-Instruct_SFT_E1_D10001 |
|
|
|
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct model using unsloth. |
|
|
|
## Model description |
|
|
|
The Model is trained on all successful episodes of the clembench-benchmark versions 0.9 and 1.0. |
|
The Dataset contains approximately 3700 Successfully player episodes of all non-multi-modal games |
|
|
|
## Training and evaluation data |
|
|
|
Dataset: D10001 |
|
|
|
## Training procedure |
|
One Episode QLoRa Finetuning with 4bit quantization |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 0.0002 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 8 |
|
- seed: 7331 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.03 |
|
- lr_scheduler_warmup_steps: 5 |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.12.0 |
|
- Transformers 4.44.2 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.21.0 |
|
- Tokenizers 0.19.1 |
