---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: shivanand-llama-cosmopedia-drift-sigmoid-2B-base
  results: []
---

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# shivanand-llama-cosmopedia-drift-sigmoid-2B-base

This model is a fine-tuned version of [](https://huggingface.co./) 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1
- training_steps: 10

### Training results



### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0