---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter5_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_replace_iter5_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: 2.2408
- Num Input Tokens Seen: 4919592

## 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    | 1.3909          | 0                 |
| 1.7001        | 0.0513 | 5    | 1.2745          | 250576            |
| 0.9776        | 0.1026 | 10   | 1.2553          | 507984            |
| 0.6411        | 0.1539 | 15   | 1.4389          | 759912            |
| 0.3549        | 0.2053 | 20   | 1.6506          | 1017344           |
| 0.1684        | 0.2566 | 25   | 1.8128          | 1261720           |
| 0.0927        | 0.3079 | 30   | 1.9916          | 1509936           |
| 0.088         | 0.3592 | 35   | 2.1525          | 1762648           |
| 0.0417        | 0.4105 | 40   | 2.2521          | 2020112           |
| 0.0409        | 0.4618 | 45   | 2.2578          | 2273928           |
| 0.0342        | 0.5131 | 50   | 2.2295          | 2525056           |
| 0.0366        | 0.5645 | 55   | 2.2589          | 2779656           |
| 0.0259        | 0.6158 | 60   | 2.2810          | 3029816           |
| 0.0289        | 0.6671 | 65   | 2.2621          | 3284000           |
| 0.0332        | 0.7184 | 70   | 2.2593          | 3542064           |
| 0.0288        | 0.7697 | 75   | 2.2449          | 3801936           |
| 0.0246        | 0.8210 | 80   | 2.2357          | 4058824           |
| 0.025         | 0.8724 | 85   | 2.2324          | 4315048           |
| 0.0273        | 0.9237 | 90   | 2.2358          | 4563000           |
| 0.0226        | 0.9750 | 95   | 2.2411          | 4812984           |


### Framework versions

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