sea-lion-7b / README.md
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---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: openthaigpt/openthai-llama-pretrained-7B
model-index:
- name: sea-lion-7b
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sea-lion-7b
This model is a fine-tuned version of [openthaigpt/openthai-llama-pretrained-7B](https://huggingface.co/openthaigpt/openthai-llama-pretrained-7B) on the generator 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: 3
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
### Training results
### Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2