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zephyr-gemma-2-9b-sft-4k
tanliboy/zephyr-gemma-2-9b-sft-4k
zephyr-gemma-2-9b-sft-4k is a machine learning model from tanliboy. 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 gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- gemma
- Model type
- gemma2
- Access
- Public
- Created
- Aug 10, 2024
- Updated
- Aug 11, 2024
- SHA
- 841dc56b
Base models
Datasets
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. -->
zephyr-gemma-2-9b-sft-4k
This model is a fine-tuned version of google/gemma-2-9b on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:
- Loss: 0.8360
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: 3e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8177 | 1.0 | 1624 | 0.8360 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Type
- gemma2
- License
- gemma
- Created
- Aug 10, 2024
- Updated
- Aug 11, 2024