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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_iter4_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_iter4_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: 1.1654
- Num Input Tokens Seen: 5196150
## 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 |
| 1.317 | 0.0543 | 5 | 1.2676 | 278888 |
| 1.2103 | 0.1087 | 10 | 1.1836 | 560856 |
| 1.1544 | 0.1630 | 15 | 1.1540 | 844528 |
| 1.1964 | 0.2174 | 20 | 1.1470 | 1128496 |
| 0.9374 | 0.2717 | 25 | 1.1433 | 1409880 |
| 0.9893 | 0.3261 | 30 | 1.1511 | 1694568 |
| 0.9799 | 0.3804 | 35 | 1.1555 | 1983024 |
| 0.9148 | 0.4348 | 40 | 1.1759 | 2267152 |
| 0.872 | 0.4891 | 45 | 1.1720 | 2553896 |
| 0.7683 | 0.5435 | 50 | 1.1734 | 2832280 |
| 0.7309 | 0.5978 | 55 | 1.1710 | 3116288 |
| 0.7317 | 0.6522 | 60 | 1.1715 | 3400728 |
| 0.6844 | 0.7065 | 65 | 1.1663 | 3683408 |
| 0.6955 | 0.7609 | 70 | 1.1680 | 3959976 |
| 0.6387 | 0.8152 | 75 | 1.1771 | 4241544 |
| 0.6381 | 0.8696 | 80 | 1.1675 | 4526832 |
| 0.6677 | 0.9239 | 85 | 1.1682 | 4803712 |
| 0.6433 | 0.9783 | 90 | 1.1650 | 5085136 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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