Downloads · 30 days
12
13% of all-time downloads
gemma2b-summarize-gpt4o-4k
llama-duo/gemma2b-summarize-gpt4o-4k
gemma2b-summarize-gpt4o-4k is a machine learning model from llama-duo. 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. --
All-time downloads
91
Public
Repo size
37.1 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors19.6 MB · 53%
At a glance
- Library
- peft
- License
- gemma
- Model type
- gemma
- Access
- Public
- Created
- Jun 5, 2024
- Updated
- Jun 5, 2024
- SHA
- 7e6e0f73
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. -->
gemma2b-summarize-gpt4o-4k
This model is a fine-tuned version of google/gemma-2b on the llama-duo/synth_summarize_dataset_dedup dataset. It achieves the following results on the evaluation set:
- Loss: 2.5678
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 2
- total_train_batch_size: 48
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0546 | 0.9474 | 9 | 2.9560 |
| 2.2821 | 2.0 | 19 | 2.6966 |
| 1.8527 | 2.9474 | 28 | 2.6031 |
| 1.5789 | 4.0 | 38 | 2.5802 |
| 1.4487 | 4.9474 | 47 | 2.5688 |
| 1.3708 | 6.0 | 57 | 2.5638 |
| 1.3286 | 6.9474 | 66 | 2.5667 |
| 1.3104 | 8.0 | 76 | 2.5672 |
| 1.3046 | 8.9474 | 85 | 2.5674 |
| 1.3032 | 9.4737 | 90 | 2.5678 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- peft
- Type
- gemma
- License
- gemma
- Created
- Jun 5, 2024
- Updated
- Jun 5, 2024