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babylama-attentionchange
Harshatheeswar/babylama-attentionchange
babylama-attentionchange is a text generation model from Harshatheeswar. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- llama
- Access
- Public
- Created
- Nov 19, 2024
- Updated
- Nov 20, 2024
- SHA
- b161ec34
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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. -->
babylama-attentionchange
This model is a fine-tuned version of babylm/babyllama-100m-2024 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9233
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.3065 | 0.9999 | 5559 | 4.3348 |
| 4.0853 | 1.9999 | 11119 | 4.0786 |
| 3.9166 | 2.9998 | 16678 | 3.9717 |
| 3.7768 | 3.9999 | 22238 | 3.9284 |
| 3.7544 | 4.9994 | 27795 | 3.9233 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- Created
- Nov 19, 2024
- Updated
- Nov 20, 2024