README.md

metadata

base_model: Zelyanoth/my_fon_translation_model
tags:
  - generated_from_trainer
datasets:
  - generator
metrics:
  - bleu
model-index:
  - name: my_fon_translation_model
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: generator
          type: generator
          config: default
          split: train
          args: default
        metrics:
          - name: Bleu
            type: bleu
            value: 4.6969

my_fon_translation_model

This model is a fine-tuned version of Zelyanoth/my_fon_translation_model on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 5.3872
• Bleu: 4.6969
• Gen Len: 8.9556

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: 9e-09
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.7451	1.0	13165	5.3867	4.7469	8.918
0.7486	2.0	26330	5.3869	4.6995	8.9539
0.7707	3.0	39495	5.3872	4.6971	8.9559
0.7498	4.0	52660	5.3872	4.6971	8.9558
0.7367	5.0	65825	5.3872	4.6969	8.9556
0.7424	6.0	78990	5.3872	4.6969	8.9556

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2