README.md

metadata

license: mit
base_model: kazandaev/m2m100_418M
tags:
  - translation
  - generated_from_trainer
datasets:
  - wmt16
metrics:
  - bleu
model-index:
  - name: m2m100_418M
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: wmt16
          type: wmt16
          config: ru-en
          split: validation
          args: ru-en
        metrics:
          - name: Bleu
            type: bleu
            value: 32.0585

m2m100_418M

This model is a fine-tuned version of kazandaev/m2m100_418M on the wmt16 dataset. It achieves the following results on the evaluation set:

• Loss: 0.8954
• Bleu: 32.0585
• Gen Len: 36.1643

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: 4
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 10
• total_train_batch_size: 40
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.8087	1.0	47790	0.9542	30.786	36.1469
0.7266	2.0	95580	0.8954	32.0585	36.1643

Framework versions

• Transformers 4.33.2
• Pytorch 2.2.0.dev20230920+cu121
• Datasets 2.14.4
• Tokenizers 0.13.3