|
--- |
|
license: gemma |
|
base_model: google/gemma-2-27b |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
model-index: |
|
- name: collapse_gemma-2-27b_hs2_replace_iter2_sftsd0 |
|
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. --> |
|
|
|
# collapse_gemma-2-27b_hs2_replace_iter2_sftsd0 |
|
|
|
This model is a fine-tuned version of [google/gemma-2-27b](https://huggingface.co/google/gemma-2-27b) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.1980 |
|
- Num Input Tokens Seen: 3884172 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 16 |
|
- seed: 0 |
|
- gradient_accumulation_steps: 32 |
|
- 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 | 1.1282 | 0 | |
|
| 2.5619 | 0.0609 | 5 | 1.0479 | 234712 | |
|
| 2.306 | 0.1217 | 10 | 1.0663 | 474768 | |
|
| 1.7728 | 0.1826 | 15 | 1.0981 | 710708 | |
|
| 1.6061 | 0.2434 | 20 | 1.1511 | 948504 | |
|
| 1.2679 | 0.3043 | 25 | 1.1725 | 1186572 | |
|
| 1.1194 | 0.3652 | 30 | 1.1757 | 1416168 | |
|
| 0.9711 | 0.4260 | 35 | 1.1728 | 1646396 | |
|
| 1.0101 | 0.4869 | 40 | 1.1625 | 1890108 | |
|
| 0.9108 | 0.5477 | 45 | 1.1646 | 2129884 | |
|
| 0.8715 | 0.6086 | 50 | 1.1616 | 2364656 | |
|
| 0.9123 | 0.6695 | 55 | 1.1721 | 2601440 | |
|
| 0.8214 | 0.7303 | 60 | 1.1805 | 2841352 | |
|
| 1.0584 | 0.7912 | 65 | 1.1801 | 3084488 | |
|
| 0.7651 | 0.8520 | 70 | 1.1723 | 3317380 | |
|
| 0.7307 | 0.9129 | 75 | 1.1715 | 3557164 | |
|
| 0.8541 | 0.9738 | 80 | 1.1968 | 3787968 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.0 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
