---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter8_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_iter8_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: 2.5431
- Num Input Tokens Seen: 7729792

## 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                 |
| 1.6775        | 0.0317 | 5    | 1.3078          | 249640            |
| 1.1595        | 0.0633 | 10   | 1.2385          | 493152            |
| 0.7855        | 0.0950 | 15   | 1.3530          | 742568            |
| 0.4733        | 0.1267 | 20   | 1.5512          | 993096            |
| 0.3632        | 0.1584 | 25   | 1.6760          | 1241784           |
| 0.2405        | 0.1900 | 30   | 1.8061          | 1488408           |
| 0.1741        | 0.2217 | 35   | 2.0582          | 1736448           |
| 0.1075        | 0.2534 | 40   | 2.1692          | 1986304           |
| 0.054         | 0.2850 | 45   | 2.3143          | 2236192           |
| 0.0417        | 0.3167 | 50   | 2.4076          | 2485904           |
| 0.0317        | 0.3484 | 55   | 2.4662          | 2728784           |
| 0.0307        | 0.3800 | 60   | 2.4682          | 2981024           |
| 0.0281        | 0.4117 | 65   | 2.4533          | 3224056           |
| 0.0296        | 0.4434 | 70   | 2.4544          | 3466368           |
| 0.0281        | 0.4751 | 75   | 2.4627          | 3716376           |
| 0.029         | 0.5067 | 80   | 2.4801          | 3956352           |
| 0.0276        | 0.5384 | 85   | 2.5255          | 4200848           |
| 0.0266        | 0.5701 | 90   | 2.5232          | 4438112           |
| 0.0266        | 0.6017 | 95   | 2.5296          | 4681008           |
| 0.0271        | 0.6334 | 100  | 2.5345          | 4929272           |
| 0.026         | 0.6651 | 105  | 2.5361          | 5177360           |
| 0.0269        | 0.6968 | 110  | 2.5346          | 5422624           |
| 0.031         | 0.7284 | 115  | 2.5489          | 5664432           |
| 0.0277        | 0.7601 | 120  | 2.5383          | 5911992           |
| 0.0269        | 0.7918 | 125  | 2.5107          | 6157840           |
| 0.0245        | 0.8234 | 130  | 2.5145          | 6401608           |
| 0.0284        | 0.8551 | 135  | 2.5238          | 6639192           |
| 0.0269        | 0.8868 | 140  | 2.5150          | 6886080           |
| 0.0276        | 0.9184 | 145  | 2.5151          | 7135760           |
| 0.026         | 0.9501 | 150  | 2.5276          | 7383616           |
| 0.0259        | 0.9818 | 155  | 2.5393          | 7629864           |


### Framework versions

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