banel_jakir_arnob_banglat5
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: 0.3634
- eval_Val Accuracy: 0.86
- eval_gen_len: 2.4157
- eval_runtime: 35.8676
- eval_samples_per_second: 98.39
- eval_steps_per_second: 3.095
- epoch: 12.0
- step: 1908
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: 0.0003
- train_batch_size: 200
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
Framework versions
- Transformers 4.34.1
- Pytorch 1.13.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1
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Model tree for fia24/banel_jakir_arnob_banglat5
Base model
csebuetnlp/banglat5