|
--- |
|
license: gemma |
|
library_name: peft |
|
tags: |
|
- alignment-handbook |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
base_model: google/gemma-7b |
|
datasets: |
|
- llama-duo/synth_summarize_dataset |
|
model-index: |
|
- name: gemma7b-summarize-gpt4o-80k |
|
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. --> |
|
|
|
# gemma7b-summarize-gpt4o-80k |
|
|
|
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the llama-duo/synth_summarize_dataset 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 |
