---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2b-it
datasets:
- generator
model-index:
- name: gemma-2b-lahacks
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gemma-2b-lahacks

This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2077

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 1480

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 3.6438        | 1.6393  | 100  | 2.7298          |
| 2.5556        | 3.2787  | 200  | 2.3638          |
| 2.3244        | 4.9180  | 300  | 2.2709          |
| 2.2537        | 6.5574  | 400  | 2.2349          |
| 2.2077        | 8.1967  | 500  | 2.2143          |
| 2.1685        | 9.8361  | 600  | 2.2032          |
| 2.1429        | 11.4754 | 700  | 2.1962          |
| 2.1116        | 13.1148 | 800  | 2.1939          |
| 2.0834        | 14.7541 | 900  | 2.1944          |
| 2.0626        | 16.3934 | 1000 | 2.1977          |
| 2.0412        | 18.0328 | 1100 | 2.2000          |
| 2.0286        | 19.6721 | 1200 | 2.2040          |
| 2.0217        | 21.3115 | 1300 | 2.2062          |
| 2.0134        | 22.9508 | 1400 | 2.2077          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.0.1a0+cxx11.abi
- Datasets 2.19.0
- Tokenizers 0.19.1