metadata
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b
datasets:
- generator
model-index:
- name: gemma7b-summarize-gpt4o-80k
results: []
gemma7b-summarize-gpt4o-80k
This model is a fine-tuned version of google/gemma-7b on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 5.1111
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: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2272 | 1.0 | 111 | 2.3900 |
| 0.9374 | 2.0 | 222 | 2.1928 |
| 0.8471 | 3.0 | 333 | 2.1682 |
| 0.7873 | 4.0 | 444 | 2.2036 |
| 0.685 | 5.0 | 555 | 2.2977 |
| 0.6223 | 6.0 | 666 | 2.4441 |
| 0.5378 | 7.0 | 777 | 2.6715 |
| 0.458 | 8.0 | 888 | 2.9555 |
| 0.3843 | 9.0 | 999 | 3.4365 |
| 0.3241 | 10.0 | 1110 | 3.8823 |
| 0.2825 | 11.0 | 1221 | 4.4044 |
| 0.2549 | 12.0 | 1332 | 4.8382 |
| 0.2408 | 13.0 | 1443 | 5.0611 |
| 0.2361 | 14.0 | 1554 | 5.1061 |
| 0.2319 | 15.0 | 1665 | 5.1111 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1