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MindEase-30K-Refined
azkamannan2004/MindEase-30K-Refined
MindEase-30K-Refined is a machine learning model from azkamannan2004. 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
- blenderbot
- Access
- Public
- Created
- Mar 18, 2026
- Updated
- Mar 18, 2026
- SHA
- 7c33e1c3
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. -->
MindEase-30K-Refined
This model is a fine-tuned version of azkamannan2004/MindEase-20K on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 3.56 | 1000 | 0.0000 |
| 0.0 | 7.11 | 2000 | 0.0000 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.9.0+cu126
- Datasets 2.18.0
- Tokenizers 0.15.2
- Type
- blenderbot
- License
- apache-2.0
- Created
- Mar 18, 2026
- Updated
- Mar 18, 2026