---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: gemma-2-2b_hs2_iter1_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. -->

# gemma-2-2b_hs2_iter1_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: 1.1429
- Num Input Tokens Seen: 2261600

## 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    | 1.3956          | 0                 |
| 1.3526        | 0.128 | 5    | 1.2229          | 288424            |
| 1.1173        | 0.256 | 10   | 1.1711          | 579216            |
| 0.9377        | 0.384 | 15   | 1.1629          | 868664            |
| 0.861         | 0.512 | 20   | 1.1527          | 1158640           |
| 0.825         | 0.64  | 25   | 1.1591          | 1449080           |
| 0.7801        | 0.768 | 30   | 1.1628          | 1738784           |
| 0.6721        | 0.896 | 35   | 1.1531          | 2030080           |


### Framework versions

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