This model is a fine-tuned version of utter-project/EuroLLM-1.7B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.1424

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
3.9481	1.0	808	3.0060
1.994	2.0	1616	2.3556
1.1262	3.0	2424	2.1424

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

codymd/rauma-gpt-1.7B-Instruct

rauma-gpt-1.7B-Instruct

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

codymd/
rauma-gpt-1.7B-Instruct