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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_replace_iter5_sftsd1
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_replace_iter5_sftsd1
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: 2.2688
- Num Input Tokens Seen: 5013656
## 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: 1
- 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 |
| 1.4559 | 0.0513 | 5 | 1.2725 | 257864 |
| 1.0605 | 0.1027 | 10 | 1.2385 | 516944 |
| 0.6871 | 0.1540 | 15 | 1.4054 | 773056 |
| 0.4263 | 0.2054 | 20 | 1.6020 | 1039416 |
| 0.2328 | 0.2567 | 25 | 1.7950 | 1289960 |
| 0.158 | 0.3081 | 30 | 1.9368 | 1547184 |
| 0.0827 | 0.3594 | 35 | 2.1794 | 1796888 |
| 0.0603 | 0.4108 | 40 | 2.1921 | 2057712 |
| 0.0448 | 0.4621 | 45 | 2.3177 | 2314536 |
| 0.0473 | 0.5135 | 50 | 2.3247 | 2574664 |
| 0.033 | 0.5648 | 55 | 2.3309 | 2830688 |
| 0.0254 | 0.6162 | 60 | 2.3438 | 3090024 |
| 0.0281 | 0.6675 | 65 | 2.3396 | 3351576 |
| 0.0257 | 0.7189 | 70 | 2.3013 | 3611544 |
| 0.0235 | 0.7702 | 75 | 2.2895 | 3870096 |
| 0.029 | 0.8216 | 80 | 2.3117 | 4131664 |
| 0.0278 | 0.8729 | 85 | 2.2845 | 4389008 |
| 0.0309 | 0.9243 | 90 | 2.2608 | 4654528 |
| 0.0246 | 0.9756 | 95 | 2.2600 | 4907632 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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