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---
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2b
datasets:
- generator
model-index:
- name: Not-so-bright-AGI-v1
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. -->
# Not-so-bright-AGI-v1
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0548
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training Hardware
This model was trained using Intel(R) Data Center GPU Max 1100
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9165 | 3.2 | 100 | 2.6762 |
| 2.419 | 6.4 | 200 | 2.3629 |
| 2.2343 | 9.6 | 300 | 2.2060 |
| 2.1459 | 12.8 | 400 | 2.1401 |
| 2.0944 | 16.0 | 500 | 2.1112 |
| 2.0679 | 19.2 | 600 | 2.0942 |
| 2.0496 | 22.4 | 700 | 2.0826 |
| 2.0375 | 25.6 | 800 | 2.0743 |
| 2.0213 | 28.8 | 900 | 2.0684 |
| 2.0148 | 32.0 | 1000 | 2.0630 |
| 2.0048 | 35.2 | 1100 | 2.0593 |
| 1.9988 | 38.4 | 1200 | 2.0575 |
| 1.9968 | 41.6 | 1300 | 2.0555 |
| 1.9908 | 44.8 | 1400 | 2.0548 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.0.1a0+cxx11.abi
- Datasets 2.19.0
- Tokenizers 0.19.1 |