metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: gemma-2-2b_hs2_iter1_sftsd0
results: []
gemma-2-2b_hs2_iter1_sftsd0
This model is a fine-tuned version of google/gemma-2-2b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1429
- Num Input Tokens Seen: 2261600
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: 8e-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 0
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| No log | 0 | 0 | 1.3956 | 0 |
| 1.3526 | 0.128 | 5 | 1.2229 | 288424 |
| 1.1173 | 0.256 | 10 | 1.1711 | 579216 |
| 0.9377 | 0.384 | 15 | 1.1629 | 868664 |
| 0.861 | 0.512 | 20 | 1.1527 | 1158640 |
| 0.825 | 0.64 | 25 | 1.1591 | 1449080 |
| 0.7801 | 0.768 | 30 | 1.1628 | 1738784 |
| 0.6721 | 0.896 | 35 | 1.1531 | 2030080 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1