---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter3_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_replace_iter3_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: 1.8317
- Num Input Tokens Seen: 8456608

## 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    | 1.3956          | 0                 |
| 1.5416        | 0.0324 | 5    | 1.3068          | 269936            |
| 1.3641        | 0.0649 | 10   | 1.2115          | 552616            |
| 1.0289        | 0.0973 | 15   | 1.2221          | 823720            |
| 0.8688        | 0.1297 | 20   | 1.2844          | 1095864           |
| 0.7272        | 0.1621 | 25   | 1.4180          | 1364688           |
| 0.519         | 0.1946 | 30   | 1.5302          | 1638176           |
| 0.3073        | 0.2270 | 35   | 1.6787          | 1919208           |
| 0.2729        | 0.2594 | 40   | 1.7833          | 2198928           |
| 0.1705        | 0.2919 | 45   | 1.9387          | 2476232           |
| 0.0886        | 0.3243 | 50   | 1.9982          | 2749520           |
| 0.1069        | 0.3567 | 55   | 2.0681          | 3023760           |
| 0.0686        | 0.3891 | 60   | 2.0576          | 3297968           |
| 0.0828        | 0.4216 | 65   | 1.9080          | 3573328           |
| 0.0499        | 0.4540 | 70   | 1.9215          | 3843576           |
| 0.0494        | 0.4864 | 75   | 1.9651          | 4114016           |
| 0.0778        | 0.5188 | 80   | 1.9004          | 4382648           |
| 0.0607        | 0.5513 | 85   | 1.8523          | 4659656           |
| 0.0551        | 0.5837 | 90   | 1.7979          | 4931424           |
| 0.0352        | 0.6161 | 95   | 1.7820          | 5204968           |
| 0.0639        | 0.6486 | 100  | 1.8419          | 5483448           |
| 0.0605        | 0.6810 | 105  | 1.8618          | 5761696           |
| 0.0386        | 0.7134 | 110  | 1.7887          | 6038976           |
| 0.0399        | 0.7458 | 115  | 1.8088          | 6311440           |
| 0.0333        | 0.7783 | 120  | 1.9178          | 6585992           |
| 0.0458        | 0.8107 | 125  | 1.9033          | 6863656           |
| 0.0419        | 0.8431 | 130  | 1.8162          | 7138912           |
| 0.0386        | 0.8756 | 135  | 1.7969          | 7407560           |
| 0.0464        | 0.9080 | 140  | 1.8278          | 7687208           |
| 0.0376        | 0.9404 | 145  | 1.8610          | 7964184           |
| 0.0418        | 0.9728 | 150  | 1.8592          | 8240528           |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1