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---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: Graceful6025/AceGPT-7B
model-index:
- name: Acegpt-7b-chat-FCAIBylawArabicOneContext-v2
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/graduationprojectfcai/huggingface/runs/d9jbbalj)
# Acegpt-7b-chat-FCAIBylawArabicOneContext-v2
This model is a fine-tuned version of [Graceful6025/AceGPT-7B](https://huggingface.co./Graceful6025/AceGPT-7B) on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 500
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.41.0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1 |