README.md

metadata

license: other
base_model: apple/OpenELM-450M
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: out_OpenELM-450M_LR-5e-05_OA_3f7dd301-ab4c-48cf-8684-d6e4869ea33f
    results: []

out_OpenELM-450M_LR-5e-05_OA_3f7dd301-ab4c-48cf-8684-d6e4869ea33f

This model is a fine-tuned version of apple/OpenELM-450M 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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• num_epochs: 3

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1