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End of training
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metadata
library_name: transformers
license: apache-2.0
base_model: utter-project/EuroLLM-1.7B-Instruct
tags:
  - generated_from_trainer
model-index:
  - name: rauma-gpt-1.7B-Instruct
    results: []

rauma-gpt-1.7B-Instruct

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