---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter9_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_accumulatesubsample_iter9_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: 1.1837
- Num Input Tokens Seen: 5013888

## 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                 |
| 1.4549        | 0.0530 | 5    | 1.2734          | 272264            |
| 1.0822        | 0.1060 | 10   | 1.1956          | 535104            |
| 0.9981        | 0.1590 | 15   | 1.1870          | 799192            |
| 0.8748        | 0.2121 | 20   | 1.2126          | 1064056           |
| 0.8208        | 0.2651 | 25   | 1.2219          | 1334048           |
| 0.7611        | 0.3181 | 30   | 1.2282          | 1604648           |
| 0.6888        | 0.3711 | 35   | 1.2310          | 1865896           |
| 0.5709        | 0.4241 | 40   | 1.2214          | 2142528           |
| 0.5934        | 0.4771 | 45   | 1.2378          | 2406648           |
| 0.532         | 0.5302 | 50   | 1.1954          | 2673848           |
| 0.557         | 0.5832 | 55   | 1.2070          | 2936776           |
| 0.4641        | 0.6362 | 60   | 1.2062          | 3194848           |
| 0.4939        | 0.6892 | 65   | 1.1957          | 3464616           |
| 0.3887        | 0.7422 | 70   | 1.1948          | 3732256           |
| 0.4909        | 0.7952 | 75   | 1.1860          | 4002936           |
| 0.4297        | 0.8482 | 80   | 1.1849          | 4272664           |
| 0.3908        | 0.9013 | 85   | 1.1861          | 4538816           |
| 0.3598        | 0.9543 | 90   | 1.1830          | 4797920           |


### Framework versions

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