Artigenz-Coder-DS-6.7B_En__translations_size_104_epochs_10_2024-06-22_03-26-15_3557997
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: 3.1141
- Accuracy: 0.06
- Chrf: 0.499
- Bleu: 0.407
- Sacrebleu: 0.4
- Rouge1: 0.494
- Rouge2: 0.242
- Rougel: 0.449
- Rougelsum: 0.488
- Meteor: 0.401
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
0.1365 | 4.0 | 104 | 1.1838 | 0.046 | 0.714 | 0.6 | 0.6 | 0.676 | 0.459 | 0.613 | 0.668 | 0.522 |
0.1026 | 8.0 | 208 | 1.3421 | 0.045 | 0.699 | 0.569 | 0.6 | 0.66 | 0.437 | 0.601 | 0.648 | 0.482 |
0.1001 | 12.0 | 312 | 1.3957 | 0.047 | 0.724 | 0.621 | 0.6 | 0.701 | 0.482 | 0.63 | 0.685 | 0.528 |
0.4589 | 16.0 | 416 | 1.6948 | 0.046 | 0.702 | 0.601 | 0.6 | 0.694 | 0.473 | 0.62 | 0.681 | 0.51 |
0.1812 | 20.0 | 520 | 2.5671 | 0.077 | 0.59 | 0.47 | 0.5 | 0.605 | 0.346 | 0.526 | 0.591 | 0.403 |
0.1966 | 24.0 | 624 | 2.5118 | 0.066 | 0.607 | 0.502 | 0.5 | 0.607 | 0.357 | 0.544 | 0.601 | 0.428 |
0.9528 | 28.0 | 728 | 2.7303 | 0.055 | 0.567 | 0.465 | 0.5 | 0.577 | 0.325 | 0.52 | 0.567 | 0.429 |
0.2147 | 32.0 | 832 | 2.9680 | 0.055 | 0.529 | 0.435 | 0.4 | 0.541 | 0.285 | 0.489 | 0.533 | 0.402 |
0.367 | 36.0 | 936 | 3.1490 | 0.067 | 0.508 | 0.417 | 0.4 | 0.516 | 0.264 | 0.469 | 0.509 | 0.392 |
0.2157 | 40.0 | 1040 | 3.1141 | 0.06 | 0.499 | 0.407 | 0.4 | 0.494 | 0.242 | 0.449 | 0.488 | 0.401 |
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_En__translations_size_104_epochs_10_2024-06-22_03-26-15_3557997
Base model
Artigenz/Artigenz-Coder-DS-6.7B
Finetuned
this model