| | --- |
| | license: apache-2.0 |
| | base_model: jhpassion0621/kp-umt5-base |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: kp-umt5-base |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # kp-umt5-base |
| |
|
| | This model is a fine-tuned version of [jhpassion0621/kp-umt5-base](https://huggingface.co/jhpassion0621/kp-umt5-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - eval_loss: 0.7044 |
| | - eval_bleu: 39.0699 |
| | - eval_gen_len: 45.8532 |
| | - eval_runtime: 3439.0905 |
| | - eval_samples_per_second: 8.237 |
| | - eval_steps_per_second: 0.258 |
| | - step: 0 |
| | |
| | ## 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: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 2500 |
| | - num_epochs: 4 |
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.35.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.15.1 |
| |
|
