---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulate_iter3_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_accumulate_iter3_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: 1.1371
- Num Input Tokens Seen: 5264318

## 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                 |
| 1.4103        | 0.0538 | 5    | 1.2645          | 285920            |
| 1.3042        | 0.1075 | 10   | 1.1766          | 573248            |
| 1.2148        | 0.1613 | 15   | 1.1511          | 853008            |
| 1.1212        | 0.2151 | 20   | 1.1320          | 1136200           |
| 1.0406        | 0.2688 | 25   | 1.1354          | 1412848           |
| 1.1139        | 0.3226 | 30   | 1.1353          | 1691488           |
| 0.93          | 0.3763 | 35   | 1.1526          | 1969840           |
| 0.9491        | 0.4301 | 40   | 1.1464          | 2249384           |
| 0.8255        | 0.4839 | 45   | 1.1531          | 2529768           |
| 0.8226        | 0.5376 | 50   | 1.1457          | 2813872           |
| 0.8505        | 0.5914 | 55   | 1.1510          | 3105400           |
| 0.7052        | 0.6452 | 60   | 1.1498          | 3391880           |
| 0.7749        | 0.6989 | 65   | 1.1413          | 3678440           |
| 0.6941        | 0.7527 | 70   | 1.1457          | 3959096           |
| 0.6859        | 0.8065 | 75   | 1.1410          | 4248384           |
| 0.5947        | 0.8602 | 80   | 1.1435          | 4534176           |
| 0.6197        | 0.9140 | 85   | 1.1393          | 4811344           |
| 0.5752        | 0.9677 | 90   | 1.1362          | 5094360           |


### Framework versions

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