---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: step_val_25_gemma-2-2b_hs2_iter1_sftsd2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# step_val_25_gemma-2-2b_hs2_iter1_sftsd2

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: 1.0950
- Num Input Tokens Seen: 1470072

## 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: 2
- 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
- training_steps: 25

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| No log        | 0      | 0    | 1.3956          | 0                 |
| 1.188         | 0.0511 | 5    | 1.2111          | 295904            |
| 1.1647        | 0.1021 | 10   | 1.1523          | 591104            |
| 1.1386        | 0.1532 | 15   | 1.1210          | 883280            |
| 1.0904        | 0.2042 | 20   | 1.1020          | 1177976           |
| 1.0895        | 0.2553 | 25   | 1.0950          | 1470072           |


### Framework versions

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