annotator_banel
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: 0.2899
- eval_Val Accuracy: 0.9025
- eval_gen_len: 2.277
- eval_runtime: 24.4481
- eval_samples_per_second: 91.418
- eval_steps_per_second: 2.863
- epoch: 18.0
- step: 1008
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: 360
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Framework versions
- Transformers 4.35.0
- Pytorch 1.13.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1
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Inference Providers
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Model tree for fia24/annotator_banel
Base model
csebuetnlp/banglat5