Artigenz-Coder-DS-6.7B_Fi__translations_size_104_epochs_10_2024-06-21_23-22-47_3557638
This model is a fine-tuned version of Artigenz/Artigenz-Coder-DS-6.7B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9722
- Accuracy: 0.038
- Chrf: 0.522
- Bleu: 0.437
- Sacrebleu: 0.4
- Rouge1: 0.515
- Rouge2: 0.259
- Rougel: 0.472
- Rougelsum: 0.507
- Meteor: 0.41
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: 0.001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 3407
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 104
- training_steps: 1040
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | Chrf | Bleu | Sacrebleu | Rouge1 | Rouge2 | Rougel | Rougelsum | Meteor |
---|---|---|---|---|---|---|---|---|---|---|---|---|
0.1488 | 4.0 | 104 | 1.1476 | 0.024 | 0.727 | 0.608 | 0.6 | 0.69 | 0.485 | 0.629 | 0.684 | 0.537 |
0.0978 | 8.0 | 208 | 1.1940 | 0.014 | 0.721 | 0.6 | 0.6 | 0.675 | 0.466 | 0.607 | 0.668 | 0.53 |
0.1307 | 12.0 | 312 | 1.3964 | 0.017 | 0.708 | 0.596 | 0.6 | 0.677 | 0.464 | 0.612 | 0.668 | 0.532 |
0.5772 | 16.0 | 416 | 1.6675 | 0.02 | 0.71 | 0.62 | 0.6 | 0.697 | 0.5 | 0.635 | 0.691 | 0.529 |
0.1787 | 20.0 | 520 | 2.0574 | 0.043 | 0.664 | 0.556 | 0.6 | 0.65 | 0.429 | 0.586 | 0.642 | 0.493 |
0.2195 | 24.0 | 624 | 2.4599 | 0.038 | 0.624 | 0.533 | 0.5 | 0.623 | 0.395 | 0.57 | 0.616 | 0.461 |
1.0463 | 28.0 | 728 | 2.7031 | 0.029 | 0.564 | 0.468 | 0.5 | 0.569 | 0.33 | 0.513 | 0.559 | 0.436 |
0.2775 | 32.0 | 832 | 2.8662 | 0.038 | 0.551 | 0.469 | 0.5 | 0.56 | 0.303 | 0.504 | 0.549 | 0.422 |
0.3616 | 36.0 | 936 | 2.9521 | 0.037 | 0.535 | 0.446 | 0.4 | 0.524 | 0.27 | 0.479 | 0.516 | 0.415 |
0.3042 | 40.0 | 1040 | 2.9722 | 0.038 | 0.522 | 0.437 | 0.4 | 0.515 | 0.259 | 0.472 | 0.507 | 0.41 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2
Model tree for vdavidr/Artigenz-Coder-DS-6.7B_Fi__translations_size_104_epochs_10_2024-06-21_23-22-47_3557638
Base model
Artigenz/Artigenz-Coder-DS-6.7B
Finetuned
this model