yassine benlaria
Model save
1f80409
|
raw
history blame
1.81 kB
metadata
base_model: heisenberg1337/m2m100_418M_tq_fr_1
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: m2m100_418M_tq_fr_new_data
    results: []

m2m100_418M_tq_fr_new_data

This model is a fine-tuned version of heisenberg1337/m2m100_418M_tq_fr_1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7732
  • Bleu: 5.0521

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-06
  • train_batch_size: 12
  • eval_batch_size: 12
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 96
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 60

Training results

Training Loss Epoch Step Validation Loss Bleu
0.7993 1.69 100 0.7767 4.9208
0.7761 3.38 200 0.7743 4.7089
0.7723 5.06 300 0.7726 4.8445
0.7585 6.75 400 0.7720 4.8352
0.7468 8.44 500 0.7732 5.1454
0.7331 10.13 600 0.7744 4.8311
0.7301 11.81 700 0.7732 5.0521

Framework versions

  • Transformers 4.32.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3