---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulate_iter3_sftsd2
  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_accumulate_iter3_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: 1.1452
- Num Input Tokens Seen: 5338776

## 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
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| No log        | 0      | 0    | 1.3909          | 0                 |
| 1.5228        | 0.0530 | 5    | 1.2631          | 285904            |
| 1.2844        | 0.1060 | 10   | 1.1761          | 573320            |
| 1.269         | 0.1589 | 15   | 1.1464          | 856296            |
| 1.1088        | 0.2119 | 20   | 1.1267          | 1134800           |
| 1.0695        | 0.2649 | 25   | 1.1290          | 1413200           |
| 1.027         | 0.3179 | 30   | 1.1306          | 1697288           |
| 0.9688        | 0.3709 | 35   | 1.1340          | 1980216           |
| 0.9701        | 0.4238 | 40   | 1.1427          | 2266568           |
| 0.949         | 0.4768 | 45   | 1.1409          | 2548552           |
| 0.9408        | 0.5298 | 50   | 1.1578          | 2839880           |
| 0.9139        | 0.5828 | 55   | 1.1506          | 3115520           |
| 0.8606        | 0.6358 | 60   | 1.1560          | 3398440           |
| 0.8238        | 0.6887 | 65   | 1.1561          | 3687696           |
| 0.8161        | 0.7417 | 70   | 1.1506          | 3977240           |
| 0.7423        | 0.7947 | 75   | 1.1503          | 4256976           |
| 0.7188        | 0.8477 | 80   | 1.1514          | 4544776           |
| 0.6642        | 0.9007 | 85   | 1.1464          | 4827760           |
| 0.6403        | 0.9536 | 90   | 1.1524          | 5108184           |


### Framework versions

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