---
library_name: transformers
license: apple-ascl
base_model: apple/DCLM-7B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: dclm_baseline_openthoughts1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# dclm_baseline_openthoughts1

This model is a fine-tuned version of [apple/DCLM-7B](https://huggingface.co/apple/DCLM-7B) on the mlfoundations-dev/openthoughts1_short 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Use 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_ratio: 0.1
- num_epochs: 5.0

### Training results



### Framework versions

- Transformers 4.46.1
- Pytorch 2.6.0+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3