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---
base_model: internlm/internlm2-1_8b
library_name: peft
license: other
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: InternLM2-1.8B-OpenOrca
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. -->
# InternLM2-1.8B-OpenOrca
This model is a fine-tuned version of [internlm/internlm2-1_8b](https://huggingface.co/internlm/internlm2-1_8b) on an unknown 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1.0
### Framework versions
- PEFT 0.12.0
- Transformers 4.43.0.dev0
- Pytorch 2.2.0
- Datasets 2.20.0
- Tokenizers 0.19.1 |