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---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter6_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-2-2b_hs2_accumulatesubsample_iter6_sftsd0
This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1801
- Num Input Tokens Seen: 5072024
## 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 | 1.3909 | 0 |
| 1.3996 | 0.0547 | 5 | 1.2737 | 278864 |
| 1.2739 | 0.1094 | 10 | 1.1914 | 559168 |
| 1.0342 | 0.1640 | 15 | 1.1756 | 843088 |
| 0.9859 | 0.2187 | 20 | 1.1705 | 1120864 |
| 0.8532 | 0.2734 | 25 | 1.1868 | 1389432 |
| 0.886 | 0.3281 | 30 | 1.1878 | 1659616 |
| 0.8437 | 0.3828 | 35 | 1.1879 | 1944408 |
| 0.8296 | 0.4375 | 40 | 1.1998 | 2221448 |
| 0.6965 | 0.4921 | 45 | 1.2044 | 2496880 |
| 0.7313 | 0.5468 | 50 | 1.1847 | 2774592 |
| 0.654 | 0.6015 | 55 | 1.1892 | 3058288 |
| 0.6299 | 0.6562 | 60 | 1.1958 | 3340632 |
| 0.5727 | 0.7109 | 65 | 1.1848 | 3619656 |
| 0.5546 | 0.7656 | 70 | 1.1821 | 3898496 |
| 0.632 | 0.8202 | 75 | 1.1899 | 4177160 |
| 0.5853 | 0.8749 | 80 | 1.1794 | 4460344 |
| 0.5044 | 0.9296 | 85 | 1.1827 | 4736688 |
| 0.5797 | 0.9843 | 90 | 1.1790 | 5018304 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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