---
license: gemma
base_model: jkazdan/step_val_25_gemma-2-2b_hs2_iter1_sftsd2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: augmented_step_val_25_gemma-2-2b_hs2_iter1_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. -->

# augmented_step_val_25_gemma-2-2b_hs2_iter1_sftsd1

This model is a fine-tuned version of [jkazdan/step_val_25_gemma-2-2b_hs2_iter1_sftsd2](https://huggingface.co/jkazdan/step_val_25_gemma-2-2b_hs2_iter1_sftsd2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4633
- Num Input Tokens Seen: 8037456

## 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    | 1.0950          | 0                 |
| 1.3679        | 0.0346 | 5    | 1.0949          | 278656            |
| 1.2514        | 0.0692 | 10   | 1.1089          | 558136            |
| 1.245         | 0.1038 | 15   | 1.1349          | 828560            |
| 1.0777        | 0.1383 | 20   | 1.1824          | 1108192           |
| 0.9197        | 0.1729 | 25   | 1.2347          | 1388824           |
| 0.7782        | 0.2075 | 30   | 1.3223          | 1665952           |
| 0.6517        | 0.2421 | 35   | 1.3822          | 1950056           |
| 0.538         | 0.2767 | 40   | 1.4250          | 2228112           |
| 0.484         | 0.3113 | 45   | 1.5033          | 2510296           |
| 0.4439        | 0.3459 | 50   | 1.4842          | 2795248           |
| 0.3461        | 0.3805 | 55   | 1.4639          | 3079696           |
| 0.233         | 0.4150 | 60   | 1.5173          | 3363824           |
| 0.285         | 0.4496 | 65   | 1.4692          | 3641232           |
| 0.3629        | 0.4842 | 70   | 1.4453          | 3912784           |
| 0.299         | 0.5188 | 75   | 1.4535          | 4191336           |
| 0.1821        | 0.5534 | 80   | 1.4589          | 4471320           |
| 0.1861        | 0.5880 | 85   | 1.4087          | 4751488           |
| 0.1433        | 0.6226 | 90   | 1.4598          | 5027576           |
| 0.168         | 0.6572 | 95   | 1.4293          | 5303728           |
| 0.1826        | 0.6917 | 100  | 1.4074          | 5582944           |
| 0.1109        | 0.7263 | 105  | 1.4264          | 5859696           |
| 0.1645        | 0.7609 | 110  | 1.4006          | 6130248           |
| 0.1012        | 0.7955 | 115  | 1.3990          | 6409520           |
| 0.0968        | 0.8301 | 120  | 1.4104          | 6691040           |
| 0.1176        | 0.8647 | 125  | 1.4425          | 6969344           |
| 0.1783        | 0.8993 | 130  | 1.4141          | 7248104           |
| 0.099         | 0.9339 | 135  | 1.4359          | 7526360           |
| 0.1133        | 0.9684 | 140  | 1.4366          | 7808664           |


### Framework versions

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