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---
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: vilm/vinallama-7b
model-index:
- name: 15k_question_context_vinallama7b
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. -->
# 15k_question_context_vinallama7b
This model is a fine-tuned version of [vilm/vinallama-7b](https://huggingface.co/vilm/vinallama-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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1 |