File size: 1,310 Bytes
a2bc661 47d19b1 a2bc661 47d19b1 8fd5c2e 63f30a6 8fd5c2e a2bc661 8fd5c2e a2bc661 a562c79 0af1eb9 a2bc661 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 |
---
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
|