---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter6_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_iter6_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: 1.1801
- Num Input Tokens Seen: 5072024

## 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                 |
| 1.3996        | 0.0547 | 5    | 1.2737          | 278864            |
| 1.2739        | 0.1094 | 10   | 1.1914          | 559168            |
| 1.0342        | 0.1640 | 15   | 1.1756          | 843088            |
| 0.9859        | 0.2187 | 20   | 1.1705          | 1120864           |
| 0.8532        | 0.2734 | 25   | 1.1868          | 1389432           |
| 0.886         | 0.3281 | 30   | 1.1878          | 1659616           |
| 0.8437        | 0.3828 | 35   | 1.1879          | 1944408           |
| 0.8296        | 0.4375 | 40   | 1.1998          | 2221448           |
| 0.6965        | 0.4921 | 45   | 1.2044          | 2496880           |
| 0.7313        | 0.5468 | 50   | 1.1847          | 2774592           |
| 0.654         | 0.6015 | 55   | 1.1892          | 3058288           |
| 0.6299        | 0.6562 | 60   | 1.1958          | 3340632           |
| 0.5727        | 0.7109 | 65   | 1.1848          | 3619656           |
| 0.5546        | 0.7656 | 70   | 1.1821          | 3898496           |
| 0.632         | 0.8202 | 75   | 1.1899          | 4177160           |
| 0.5853        | 0.8749 | 80   | 1.1794          | 4460344           |
| 0.5044        | 0.9296 | 85   | 1.1827          | 4736688           |
| 0.5797        | 0.9843 | 90   | 1.1790          | 5018304           |


### Framework versions

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