metadata
license: apache-2.0
base_model: jhpassion0621/kp-mt5-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: kp-mt5-large
results: []
kp-mt5-large
This model is a fine-tuned version of jhpassion0621/kp-mt5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5586
- Bleu: 43.3983
- Gen Len: 45.6585
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: 2.59e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 | Bleu | Gen Len | Validation Loss |
---|---|---|---|---|---|
1.0364 | 0.29 | 17000 | 32.5573 | 44.7582 | 0.8278 |
0.8819 | 0.58 | 34000 | 37.1161 | 45.0568 | 0.7062 |
0.7731 | 0.87 | 51000 | 40.329 | 45.7359 | 0.6188 |
0.7339 | 1.16 | 68000 | 41.7643 | 45.8618 | 0.5866 |
0.7093 | 1.45 | 85000 | 42.6878 | 45.5649 | 0.5657 |
0.6818 | 1.74 | 102000 | 43.2023 | 45.7701 | 0.5609 |
0.6739 | 2.00 | 117444 | 43.3983 | 45.6585 | 0.5586 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1