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mamba_text_classification_v1
wterrrr/mamba_text_classification_v1
mamba_text_classification_v1 is a machine learning model from wterrrr. 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
- Access
- Public
- Created
- Mar 14, 2024
- Updated
- Mar 15, 2024
- SHA
- 41195a19
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. -->
mamba_text_classification_v1
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.2437
- eval_accuracy: 0.7764
- eval_runtime: 8.7338
- eval_samples_per_second: 121.368
- eval_steps_per_second: 7.671
- epoch: 7.0
- step: 37121
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 10
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Created
- Mar 14, 2024
- Updated
- Mar 15, 2024