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---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_replace_iter3_sftsd2
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_iter3_sftsd2
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: 1.2906
- Num Input Tokens Seen: 3849248
## 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: 2
- 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 |
| 3.9495 | 0.0656 | 5 | 1.0675 | 257040 |
| 3.6648 | 0.1311 | 10 | 1.1421 | 509700 |
| 3.4127 | 0.1967 | 15 | 1.1791 | 758008 |
| 3.3226 | 0.2623 | 20 | 1.2243 | 1018792 |
| 3.0561 | 0.3279 | 25 | 1.2610 | 1268784 |
| 2.9523 | 0.3934 | 30 | 1.2649 | 1519000 |
| 2.7744 | 0.4590 | 35 | 1.2769 | 1772404 |
| 2.7413 | 0.5246 | 40 | 1.2763 | 2028800 |
| 2.554 | 0.5902 | 45 | 1.2870 | 2281292 |
| 2.4988 | 0.6557 | 50 | 1.2886 | 2529200 |
| 2.6288 | 0.7213 | 55 | 1.2899 | 2791768 |
| 2.4897 | 0.7869 | 60 | 1.2956 | 3044012 |
| 2.6199 | 0.8525 | 65 | 1.2915 | 3299772 |
| 2.4062 | 0.9180 | 70 | 1.2969 | 3550872 |
| 2.2421 | 0.9836 | 75 | 1.2894 | 3799436 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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