File size: 1,646 Bytes
f10c1e0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
license: gemma
library_name: peft
tags:
- generated_from_trainer
base_model: unsloth/gemma-2-9b-it-bnb-4bit
model-index:
- name: gemma2-9b-4bit-qlora
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. -->
# gemma2-9b-4bit-qlora
This model is a fine-tuned version of [unsloth/gemma-2-9b-it-bnb-4bit](https://huggingface.co/unsloth/gemma-2-9b-it-bnb-4bit) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4238
## 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: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 8.2352 | 0.2036 | 50 | 7.5529 |
| 5.4001 | 0.4072 | 100 | 5.1485 |
| 3.9619 | 0.6108 | 150 | 3.8688 |
| 3.4514 | 0.8144 | 200 | 3.4238 |
### Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.20.0 |