---
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_accumulate_iter2_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-2-9b_hs2_accumulate_iter2_sftsd0

This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9438
- Num Input Tokens Seen: 9944616

## 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: 4
- eval_batch_size: 16
- seed: 0
- gradient_accumulation_steps: 32
- 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    | 1.2335          | 0                 |
| 1.1198        | 0.0263 | 5    | 1.1072          | 256304            |
| 1.0654        | 0.0527 | 10   | 1.0185          | 519116            |
| 0.8862        | 0.0790 | 15   | 0.9889          | 775168            |
| 0.8666        | 0.1054 | 20   | 0.9891          | 1038920           |
| 0.7782        | 0.1317 | 25   | 0.9886          | 1306500           |
| 0.6537        | 0.1581 | 30   | 0.9872          | 1568200           |
| 0.7345        | 0.1844 | 35   | 0.9877          | 1831700           |
| 0.6292        | 0.2107 | 40   | 0.9795          | 2092712           |
| 0.6696        | 0.2371 | 45   | 0.9755          | 2353476           |
| 0.5445        | 0.2634 | 50   | 0.9722          | 2620524           |
| 0.6364        | 0.2898 | 55   | 0.9687          | 2886160           |
| 0.6564        | 0.3161 | 60   | 0.9671          | 3149304           |
| 0.5167        | 0.3424 | 65   | 0.9640          | 3413380           |
| 0.6553        | 0.3688 | 70   | 0.9627          | 3684636           |
| 0.5201        | 0.3951 | 75   | 0.9603          | 3947600           |
| 0.5839        | 0.4215 | 80   | 0.9603          | 4207528           |
| 0.5599        | 0.4478 | 85   | 0.9587          | 4468996           |
| 0.6981        | 0.4742 | 90   | 0.9590          | 4730728           |
| 0.582         | 0.5005 | 95   | 0.9558          | 4991328           |
| 0.5174        | 0.5268 | 100  | 0.9556          | 5253436           |
| 0.6031        | 0.5532 | 105  | 0.9545          | 5518624           |
| 0.6314        | 0.5795 | 110  | 0.9528          | 5780988           |
| 0.4925        | 0.6059 | 115  | 0.9527          | 6041796           |
| 0.5823        | 0.6322 | 120  | 0.9515          | 6307948           |
| 0.5974        | 0.6585 | 125  | 0.9498          | 6573748           |
| 0.4411        | 0.6849 | 130  | 0.9492          | 6836544           |
| 0.4604        | 0.7112 | 135  | 0.9489          | 7098504           |
| 0.564         | 0.7376 | 140  | 0.9475          | 7354740           |
| 0.5769        | 0.7639 | 145  | 0.9477          | 7620140           |
| 0.4886        | 0.7903 | 150  | 0.9468          | 7884420           |
| 0.5637        | 0.8166 | 155  | 0.9462          | 8151036           |
| 0.5161        | 0.8429 | 160  | 0.9460          | 8414540           |
| 0.633         | 0.8693 | 165  | 0.9459          | 8677992           |
| 0.5239        | 0.8956 | 170  | 0.9446          | 8937256           |
| 0.6149        | 0.9220 | 175  | 0.9465          | 9204996           |
| 0.5386        | 0.9483 | 180  | 0.9451          | 9467132           |
| 0.6638        | 0.9746 | 185  | 0.9446          | 9732120           |


### Framework versions

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