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tanliboy_-_zephyr-gemma-2-9b-sft-completion-gguf
RichardErkhov/tanliboy_-_zephyr-gemma-2-9b-sft-completion-gguf
tanliboy_-_zephyr-gemma-2-9b-sft-completion-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Access
- Public
- Created
- Oct 4, 2024
- Updated
- Oct 4, 2024
- SHA
- b6b90d5d
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
zephyr-gemma-2-9b-sft-completion - GGUF
- Model creator: https://huggingface.co/tanliboy/
- Original model: https://huggingface.co/tanliboy/zephyr-gemma-2-9b-sft-completion/
Original model description:
license: gemma base_model: google/gemma-2-9b tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer datasets:
- HuggingFaceH4/ultrachat_200k model-index:
- name: zephyr-gemma-2-9b-sft-completion results: []
<!-- 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-completion
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: 0.8465
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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- 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 |
|---|---|---|---|
| 0.829 | 1.0 | 1624 | 0.8465 |
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Created
- Oct 4, 2024
- Updated
- Oct 4, 2024