metadata
license: mit
base_model: microsoft/Phi-3-mini-4k-instruct
tags:
- trl
- sft
- generated_from_trainer
- danish
datasets:
- kobprof/skolegpt-instruct
model-index:
- name: Phi-3-mini-4k-instruct-dansk
results: []
Phi-3-mini-4k-instruct-dansk
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the kobprof/skolegpt-instruct dataset. It achieves the following results on the evaluation set:
- Loss: 1.5493
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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 16
- total_eval_batch_size: 16
- 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