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metadata
license: apache-2.0
base_model: DAMO-NLP-MT/polylm-1.7b
tags:
  - generated_from_trainer
model-index:
  - name: polylm_1.7b_ft_alpaca_clean_dutch
    results: []

polylm_1.7b_ft_alpaca_clean_dutch

This model is a fine-tuned version of DAMO-NLP-MT/polylm-1.7b on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8483

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: 0.0001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 64
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
2.1248 0.16 128 2.1129
2.0512 0.33 256 2.0347
1.9983 0.49 384 1.9948
1.9557 0.66 512 1.9655
1.9583 0.82 640 1.9386
1.916 0.99 768 1.9177
1.8671 1.15 896 1.9019
1.8626 1.32 1024 1.8885
1.8321 1.48 1152 1.8762
1.8596 1.65 1280 1.8631
1.843 1.81 1408 1.8539
1.8333 1.98 1536 1.8483

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3