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gemma-2-2b-chess
diabolic6045/gemma-2-2b-chess
gemma-2-2b-chess is a machine learning model from diabolic6045. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Sep 17, 2024
Parameters
2.7B
2.2 GB on disk
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0
Public
Repo makeup
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.safetensors2.2 GB · 99%
Parameter types
How the weights are stored.
U82.1B · 78%
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. -->
<div style="display: flex; justify-content: space-around;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64020d3e82bbdfe4b7c46cc9/6jiB_BWuLXZ1AXi1Icn6k.png" alt="UI Image 1" style="width: 85%;height: 75%;"/></div>
<div style="display: flex; justify-content: space-around;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64020d3e82bbdfe4b7c46cc9/uAUcRCSvvIydrC6KkW5Hq.png" alt="UI Image 2" style="width: 85%;height: 75%;"/></div>
<div style="display: flex; justify-content: space-around;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64020d3e82bbdfe4b7c46cc9/Yp-E3C062ekk78PlR9SjA.png" alt="UI Image 2" style="width: 85%;height: 75%;"/></div>
gemma-2-2b-chess
This model is a fine-tuned version of google/gemma-2-2b. It achieves the following results on the evaluation set:
- Loss: 1.0489
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0562 | 0.3959 | 500 | 1.0697 |
| 1.0272 | 0.7918 | 1000 | 1.0489 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- Type
- gemma2
- License
- gemma
- Created
- Sep 17, 2024
- Updated
- Sep 17, 2024