---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_iter1_sftsd2
  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_iter1_sftsd2

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: 1.0646
- Num Input Tokens Seen: 5690264

## 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: 2
- 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                 |
| 1.2529        | 0.0511 | 5    | 1.2627          | 295904            |
| 1.1843        | 0.1021 | 10   | 1.1704          | 591104            |
| 1.1523        | 0.1532 | 15   | 1.1333          | 883280            |
| 1.0979        | 0.2042 | 20   | 1.1076          | 1177976           |
| 1.0923        | 0.2553 | 25   | 1.0980          | 1470072           |
| 1.07          | 0.3063 | 30   | 1.0926          | 1759320           |
| 1.1217        | 0.3574 | 35   | 1.0887          | 2048280           |
| 1.0978        | 0.4084 | 40   | 1.0847          | 2339776           |
| 1.0604        | 0.4595 | 45   | 1.0816          | 2632712           |
| 1.0608        | 0.5105 | 50   | 1.0787          | 2926200           |
| 1.1238        | 0.5616 | 55   | 1.0767          | 3220536           |
| 1.0663        | 0.6126 | 60   | 1.0750          | 3515696           |
| 1.0059        | 0.6637 | 65   | 1.0730          | 3804824           |
| 1.0991        | 0.7147 | 70   | 1.0714          | 4101032           |
| 1.1119        | 0.7658 | 75   | 1.0698          | 4391096           |
| 1.0905        | 0.8168 | 80   | 1.0688          | 4688752           |
| 1.0574        | 0.8679 | 85   | 1.0676          | 4981792           |
| 1.1394        | 0.9190 | 90   | 1.0661          | 5276840           |
| 1.1296        | 0.9700 | 95   | 1.0651          | 5572144           |


### Framework versions

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