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m2m100_lr_2e5_gradd_accum_2

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: 3.2890
  • Bleu: 10.7134
  • Gen Len: 45.3067
  • Meteor: 0.3064
  • Chrf: 33.9112

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: 12
  • eval_batch_size: 12
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 24
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 32.0

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len Meteor Chrf
3.3178 7.94 2406 2.7937 9.2429 47.6707 0.2869 31.5031
1.6761 15.88 4812 2.8455 10.5222 46.2192 0.3047 33.4306
1.0433 23.82 7218 3.0691 10.4711 46.6063 0.3042 33.6469
0.6522 31.76 9624 3.2890 10.7134 45.3067 0.3064 33.9112

Framework versions

  • Transformers 4.30.2
  • Pytorch 1.11.0+cu113
  • Datasets 2.10.0
  • Tokenizers 0.12.1
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