metadata
license: apache-2.0
base_model: google/umt5-base
tags:
- generated_from_trainer
model-index:
- name: kp-umt5-base
results: []
kp-umt5-base
This model is a fine-tuned version of google/umt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.3565
- eval_bleu: 32.2656
- eval_gen_len: 38.1913
- eval_runtime: 293.3922
- eval_samples_per_second: 10.225
- eval_steps_per_second: 0.32
- 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: 1000
- num_epochs: 2
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1