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smol_llama_DialogSumm
Isotonic/smol_llama_DialogSumm
smol_llama_DialogSumm is a text generation model from Isotonic. Use it when you need the model to write or continue text. It is set up for transformers. 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
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Feb 9, 2024
- Updated
- Feb 16, 2024
- SHA
- f3e7450b
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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. -->
smol_llama_DialogSumm
This model is a fine-tuned version of Felladrin/Smol-Llama-101M-Chat-v1 on Isotonic/DialogSumm dataset. It achieves the following results on the evaluation set:
- Loss: 1.8918
- Accuracy: 0.6050
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-04
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 411 | 2.0053 | 0.5871 |
| 2.0885 | 2.0 | 822 | 1.9287 | 0.5971 |
| 1.8728 | 3.0 | 1233 | 1.8916 | 0.6039 |
| 1.7214 | 4.0 | 1644 | 1.8918 | 0.6050 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- apache-2.0
- Created
- Feb 9, 2024
- Updated
- Feb 16, 2024