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shandung/fine_tuned_models16Nov
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metadata
license: mit
base_model: facebook/m2m100_418M
tags:
  - generated_from_trainer
model-index:
  - name: fine_tuned_models16Nov
    results: []

fine_tuned_models16Nov

This model is a fine-tuned version of facebook/m2m100_418M on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1078

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: 5e-05
  • 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
  • training_steps: 1080

Training results

Training Loss Epoch Step Validation Loss
0.4929 36.7 500 0.1096
0.0228 73.39 1000 0.1050

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Tokenizers 0.15.0