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metadata
license: other
base_model: meta-llama/Meta-Llama-3-8B
tags:
  - trl
  - sft
  - generated_from_trainer
  - danish
datasets:
  - kobprof/skolegpt-instruct
model-index:
  - name: Llama-3-8B-instruct-dansk
    results: []
language:
  - da
library_name: transformers
pipeline_tag: text-generation

Visualize in Weights & Biases

Llama-3-8B-instruct-dansk

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the kobprof/skolegpt-instruct dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9477

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: 2e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • total_train_batch_size: 4
  • total_eval_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.2
  • num_epochs: 1

Training results

Framework versions

  • Transformers 4.41.0.dev0
  • Pytorch 2.2.0
  • Datasets 2.19.0
  • Tokenizers 0.19.1