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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_accumulate_iter3_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_accumulate_iter3_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: 1.1371
- Num Input Tokens Seen: 5264318
## 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 |
| 1.4103 | 0.0538 | 5 | 1.2645 | 285920 |
| 1.3042 | 0.1075 | 10 | 1.1766 | 573248 |
| 1.2148 | 0.1613 | 15 | 1.1511 | 853008 |
| 1.1212 | 0.2151 | 20 | 1.1320 | 1136200 |
| 1.0406 | 0.2688 | 25 | 1.1354 | 1412848 |
| 1.1139 | 0.3226 | 30 | 1.1353 | 1691488 |
| 0.93 | 0.3763 | 35 | 1.1526 | 1969840 |
| 0.9491 | 0.4301 | 40 | 1.1464 | 2249384 |
| 0.8255 | 0.4839 | 45 | 1.1531 | 2529768 |
| 0.8226 | 0.5376 | 50 | 1.1457 | 2813872 |
| 0.8505 | 0.5914 | 55 | 1.1510 | 3105400 |
| 0.7052 | 0.6452 | 60 | 1.1498 | 3391880 |
| 0.7749 | 0.6989 | 65 | 1.1413 | 3678440 |
| 0.6941 | 0.7527 | 70 | 1.1457 | 3959096 |
| 0.6859 | 0.8065 | 75 | 1.1410 | 4248384 |
| 0.5947 | 0.8602 | 80 | 1.1435 | 4534176 |
| 0.6197 | 0.9140 | 85 | 1.1393 | 4811344 |
| 0.5752 | 0.9677 | 90 | 1.1362 | 5094360 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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