---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter16_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-2-2b_hs2_replace_iter16_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: 2.5763
- Num Input Tokens Seen: 4698448

## 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    | 1.3909          | 0                 |
| 1.504         | 0.0513 | 5    | 1.2854          | 232992            |
| 0.867         | 0.1026 | 10   | 1.3253          | 476672            |
| 0.496         | 0.1539 | 15   | 1.5555          | 716224            |
| 0.2393        | 0.2053 | 20   | 1.7741          | 964048            |
| 0.1039        | 0.2566 | 25   | 2.0060          | 1204056           |
| 0.0832        | 0.3079 | 30   | 2.2124          | 1441288           |
| 0.027         | 0.3592 | 35   | 2.3690          | 1695136           |
| 0.0282        | 0.4105 | 40   | 2.4619          | 1928016           |
| 0.0262        | 0.4618 | 45   | 2.5506          | 2170400           |
| 0.0241        | 0.5131 | 50   | 2.5949          | 2412520           |
| 0.0252        | 0.5645 | 55   | 2.5983          | 2649016           |
| 0.0228        | 0.6158 | 60   | 2.5883          | 2897584           |
| 0.0233        | 0.6671 | 65   | 2.5566          | 3146984           |
| 0.0236        | 0.7184 | 70   | 2.5517          | 3391736           |
| 0.0227        | 0.7697 | 75   | 2.5737          | 3640696           |
| 0.0218        | 0.8210 | 80   | 2.5875          | 3885024           |
| 0.0245        | 0.8724 | 85   | 2.5931          | 4126440           |
| 0.0231        | 0.9237 | 90   | 2.5836          | 4365400           |
| 0.0237        | 0.9750 | 95   | 2.5813          | 4596256           |


### Framework versions

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