---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter9_sftsd0
  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_iter9_sftsd0

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: 2.5305
- Num Input Tokens Seen: 4805008

## 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: 0
- 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                 |
| 1.5231        | 0.0513 | 5    | 1.2790          | 249840            |
| 0.9028        | 0.1027 | 10   | 1.2972          | 494032            |
| 0.5406        | 0.1540 | 15   | 1.5467          | 747896            |
| 0.2367        | 0.2054 | 20   | 1.8042          | 994456            |
| 0.1891        | 0.2567 | 25   | 1.9924          | 1238888           |
| 0.0891        | 0.3081 | 30   | 2.1582          | 1483192           |
| 0.0613        | 0.3594 | 35   | 2.3303          | 1726032           |
| 0.0361        | 0.4108 | 40   | 2.4317          | 1973864           |
| 0.0255        | 0.4621 | 45   | 2.4696          | 2224064           |
| 0.0251        | 0.5135 | 50   | 2.5037          | 2481064           |
| 0.0244        | 0.5648 | 55   | 2.5279          | 2724856           |
| 0.0234        | 0.6162 | 60   | 2.5367          | 2979392           |
| 0.0255        | 0.6675 | 65   | 2.5210          | 3223656           |
| 0.0291        | 0.7189 | 70   | 2.5165          | 3468936           |
| 0.0237        | 0.7702 | 75   | 2.4977          | 3711296           |
| 0.0233        | 0.8216 | 80   | 2.4937          | 3960920           |
| 0.0217        | 0.8729 | 85   | 2.5052          | 4202464           |
| 0.0228        | 0.9243 | 90   | 2.5141          | 4452272           |
| 0.0221        | 0.9756 | 95   | 2.5258          | 4700624           |


### Framework versions

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