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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_iter13_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_iter13_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: 1.2032
- Num Input Tokens Seen: 5020446
## 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 |
| 1.34 | 0.0538 | 5 | 1.2783 | 273912 |
| 1.1013 | 0.1075 | 10 | 1.2124 | 550336 |
| 0.9918 | 0.1613 | 15 | 1.2140 | 821232 |
| 0.8609 | 0.2151 | 20 | 1.2190 | 1094808 |
| 0.7352 | 0.2688 | 25 | 1.2393 | 1360608 |
| 0.7336 | 0.3226 | 30 | 1.2311 | 1633144 |
| 0.6607 | 0.3763 | 35 | 1.2354 | 1902744 |
| 0.543 | 0.4301 | 40 | 1.2269 | 2170672 |
| 0.5362 | 0.4839 | 45 | 1.2253 | 2438088 |
| 0.5783 | 0.5376 | 50 | 1.2295 | 2709272 |
| 0.4413 | 0.5914 | 55 | 1.2153 | 2982760 |
| 0.5566 | 0.6452 | 60 | 1.2091 | 3250856 |
| 0.5763 | 0.6989 | 65 | 1.2251 | 3522440 |
| 0.4629 | 0.7527 | 70 | 1.2077 | 3792592 |
| 0.4905 | 0.8065 | 75 | 1.2210 | 4052656 |
| 0.4028 | 0.8602 | 80 | 1.2064 | 4317496 |
| 0.4751 | 0.9140 | 85 | 1.2065 | 4590056 |
| 0.4461 | 0.9677 | 90 | 1.2108 | 4861056 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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