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filtered_annotated100k_banglat5_v2
fia24/filtered_annotated100k_banglat5_v2
filtered_annotated100k_banglat5_v2 is a machine learning model from fia24. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Feb 1, 2024
- Updated
- Feb 1, 2024
- SHA
- dd16f475
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
filtered_annotated100k_banglat5_v2
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: 0.2532
- eval_Val Accuracy: 0.9247
- eval_gen_len: 2.648
- eval_runtime: 85.2007
- eval_samples_per_second: 112.722
- eval_steps_per_second: 3.533
- epoch: 17.0
- step: 4369
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: 300
- 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 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- transformers
- Type
- t5
- Created
- Feb 1, 2024
- Updated
- Feb 1, 2024