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---
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- llama-duo/synth_summarize_dataset_dedup
base_model: google/gemma-7b
model-index:
- name: gemma7b-summarize-gemini1_5flash-1k
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. -->
# gemma7b-summarize-gemini1_5flash-1k
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the llama-duo/synth_summarize_dataset_dedup dataset.
It achieves the following results on the evaluation set:
- Loss: 8.7240
## 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: 4
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 51.5906 | 1.0 | 2 | 16.5290 |
| 51.5906 | 2.0 | 4 | 14.1666 |
| 38.4458 | 3.0 | 6 | 13.0907 |
| 38.4458 | 4.0 | 8 | 11.6308 |
| 23.9261 | 5.0 | 10 | 10.3576 |
| 23.9261 | 6.0 | 12 | 9.4846 |
| 23.9261 | 7.0 | 14 | 9.0308 |
| 20.7948 | 8.0 | 16 | 8.8035 |
| 20.7948 | 9.0 | 18 | 8.7407 |
| 20.2787 | 10.0 | 20 | 8.7240 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1 |