metadata
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: []
Not-so-bright-AGI-v1
This model is a fine-tuned version of google/gemma-2b on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.0209
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 |
|---|---|---|---|
| 2.9261 | 1.6393 | 100 | 2.5691 |
| 2.4363 | 3.2787 | 200 | 2.2789 |
| 2.2448 | 4.9180 | 300 | 2.1604 |
| 2.1502 | 6.5574 | 400 | 2.1008 |
| 2.111 | 8.1967 | 500 | 2.0725 |
| 2.0837 | 9.8361 | 600 | 2.0565 |
| 2.0646 | 11.4754 | 700 | 2.0456 |
| 2.0499 | 13.1148 | 800 | 2.0378 |
| 2.0497 | 14.7541 | 900 | 2.0323 |
| 2.0275 | 16.3934 | 1000 | 2.0282 |
| 2.0271 | 18.0328 | 1100 | 2.0255 |
| 2.0205 | 19.6721 | 1200 | 2.0233 |
| 2.0218 | 21.3115 | 1300 | 2.0219 |
| 2.011 | 22.9508 | 1400 | 2.0209 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.0.1a0+cxx11.abi
- Datasets 2.19.0
- Tokenizers 0.19.1