metadata
base_model: csebuetnlp/banglat5
tags:
- generated_from_trainer
model-index:
- name: sentenec30k
results: []
sentenec30k
This model is a fine-tuned version of csebuetnlp/banglat5 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0914
- eval_bleu: 88.0302
- eval_Val Accuracy: 0.6747
- eval_Word_accuracy: 0.9816
- eval_gen_len: 14.3687
- eval_runtime: 131.8333
- eval_samples_per_second: 22.756
- eval_steps_per_second: 1.426
- epoch: 5.0
- step: 2225
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: 0.0005
- train_batch_size: 54
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
Framework versions
- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0