README.md

---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b
datasets:
- generator
model-index:
- name: gemma7b-summarize-gpt4o-4k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gemma7b-summarize-gpt4o-4k

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0658

## 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: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 16.725        | 0.9804 | 25   | 6.5520          |
| 1.5122        | 2.0    | 51   | 2.6626          |
| 1.1154        | 2.9804 | 76   | 2.5917          |
| 0.9204        | 4.0    | 102  | 2.6570          |
| 0.779         | 4.9804 | 127  | 2.7498          |
| 0.6207        | 6.0    | 153  | 2.9976          |
| 0.4762        | 6.9804 | 178  | 3.4668          |
| 0.3908        | 8.0    | 204  | 3.8246          |
| 0.3418        | 8.9804 | 229  | 4.0561          |
| 0.3252        | 9.8039 | 250  | 4.0658          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1