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t5-seq2seq-imbalancetexx
twanghcmut/t5-seq2seq-imbalancetexx
t5-seq2seq-imbalancetexx is a machine learning model from twanghcmut. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Feb 21, 2025
- Updated
- Feb 27, 2025
- SHA
- df5aff50
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. -->
t5-seq2seq-imbalancetexx
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0003
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: 2e-05
- train_batch_size: 40
- eval_batch_size: 40
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0005 | 1.0 | 2727 | 0.0003 |
Framework versions
- Transformers 4.43.1
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.19.1
- Type
- llama
- License
- apache-2.0
- Created
- Feb 21, 2025
- Updated
- Feb 27, 2025