---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter16_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_replace_iter16_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: 2.6148
- Num Input Tokens Seen: 4649928

## 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                 |
| 1.588         | 0.0511 | 5    | 1.2799          | 240344            |
| 0.8368        | 0.1021 | 10   | 1.3137          | 475832            |
| 0.4007        | 0.1532 | 15   | 1.5688          | 715888            |
| 0.2103        | 0.2042 | 20   | 1.7771          | 959272            |
| 0.0919        | 0.2553 | 25   | 2.1055          | 1202984           |
| 0.0579        | 0.3063 | 30   | 2.2288          | 1447360           |
| 0.0297        | 0.3574 | 35   | 2.4233          | 1690768           |
| 0.0258        | 0.4084 | 40   | 2.5438          | 1932088           |
| 0.0221        | 0.4595 | 45   | 2.5827          | 2172616           |
| 0.0207        | 0.5105 | 50   | 2.5997          | 2410040           |
| 0.022         | 0.5616 | 55   | 2.5889          | 2646200           |
| 0.0196        | 0.6126 | 60   | 2.6011          | 2888992           |
| 0.0203        | 0.6637 | 65   | 2.5980          | 3125144           |
| 0.0201        | 0.7147 | 70   | 2.6088          | 3358040           |
| 0.0197        | 0.7658 | 75   | 2.6171          | 3601728           |
| 0.0227        | 0.8168 | 80   | 2.6057          | 3835136           |
| 0.0201        | 0.8679 | 85   | 2.6070          | 4077024           |
| 0.0217        | 0.9190 | 90   | 2.6091          | 4307872           |
| 0.0194        | 0.9700 | 95   | 2.6178          | 4555016           |


### Framework versions

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