---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter6_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_accumulatesubsample_iter6_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: 1.1630
- Num Input Tokens Seen: 5028016

## 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                 |
| 1.4282        | 0.0533 | 5    | 1.2707          | 272080            |
| 1.0872        | 0.1065 | 10   | 1.1923          | 534176            |
| 1.0069        | 0.1598 | 15   | 1.1791          | 810424            |
| 0.9708        | 0.2130 | 20   | 1.1779          | 1085464           |
| 0.841         | 0.2663 | 25   | 1.1966          | 1354360           |
| 0.7559        | 0.3196 | 30   | 1.2040          | 1626064           |
| 0.726         | 0.3728 | 35   | 1.1940          | 1897496           |
| 0.7034        | 0.4261 | 40   | 1.1953          | 2174648           |
| 0.5682        | 0.4794 | 45   | 1.1947          | 2445704           |
| 0.575         | 0.5326 | 50   | 1.1886          | 2714920           |
| 0.566         | 0.5859 | 55   | 1.1807          | 2982200           |
| 0.5243        | 0.6391 | 60   | 1.1784          | 3246752           |
| 0.5905        | 0.6924 | 65   | 1.1718          | 3518224           |
| 0.473         | 0.7457 | 70   | 1.1766          | 3783208           |
| 0.5029        | 0.7989 | 75   | 1.1662          | 4047576           |
| 0.5819        | 0.8522 | 80   | 1.1747          | 4321368           |
| 0.5147        | 0.9055 | 85   | 1.1620          | 4594208           |
| 0.4796        | 0.9587 | 90   | 1.1722          | 4862792           |


### Framework versions

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