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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_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-2-2b_hs2_accumulatesubsample_iter6_sftsd2
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: 1.1833
- Num Input Tokens Seen: 5086248
## 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: 2
- 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 |
| 1.3794 | 0.0534 | 5 | 1.2685 | 268544 |
| 1.1344 | 0.1068 | 10 | 1.1908 | 540984 |
| 1.092 | 0.1602 | 15 | 1.1709 | 814280 |
| 0.9745 | 0.2136 | 20 | 1.1742 | 1088888 |
| 0.8742 | 0.2670 | 25 | 1.1718 | 1360592 |
| 0.9279 | 0.3204 | 30 | 1.1893 | 1633024 |
| 0.8757 | 0.3738 | 35 | 1.1800 | 1905464 |
| 0.7368 | 0.4272 | 40 | 1.2066 | 2182616 |
| 0.7263 | 0.4806 | 45 | 1.1794 | 2457160 |
| 0.5811 | 0.5340 | 50 | 1.1940 | 2735040 |
| 0.5781 | 0.5874 | 55 | 1.1842 | 3007976 |
| 0.6488 | 0.6409 | 60 | 1.1876 | 3283704 |
| 0.6015 | 0.6943 | 65 | 1.1807 | 3548216 |
| 0.6332 | 0.7477 | 70 | 1.1787 | 3816768 |
| 0.638 | 0.8011 | 75 | 1.1893 | 4083896 |
| 0.6347 | 0.8545 | 80 | 1.1804 | 4371088 |
| 0.5831 | 0.9079 | 85 | 1.1794 | 4646192 |
| 0.5994 | 0.9613 | 90 | 1.1799 | 4922280 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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