---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter18_sftsd1
  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_iter18_sftsd1

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: 2.5445
- Num Input Tokens Seen: 4524632

## 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: 1
- 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                 |
| 1.462         | 0.0511 | 5    | 1.2773          | 238088            |
| 0.8829        | 0.1021 | 10   | 1.2972          | 475032            |
| 0.4981        | 0.1532 | 15   | 1.5077          | 699248            |
| 0.3365        | 0.2042 | 20   | 1.6826          | 928128            |
| 0.1539        | 0.2553 | 25   | 1.9020          | 1160416           |
| 0.1165        | 0.3063 | 30   | 2.1476          | 1400368           |
| 0.0497        | 0.3574 | 35   | 2.2795          | 1625064           |
| 0.0301        | 0.4084 | 40   | 2.4279          | 1861016           |
| 0.0261        | 0.4595 | 45   | 2.5046          | 2095384           |
| 0.0258        | 0.5105 | 50   | 2.5742          | 2323472           |
| 0.0317        | 0.5616 | 55   | 2.5833          | 2562512           |
| 0.028         | 0.6126 | 60   | 2.6027          | 2786488           |
| 0.0243        | 0.6637 | 65   | 2.5843          | 3015672           |
| 0.0258        | 0.7147 | 70   | 2.5825          | 3252176           |
| 0.0254        | 0.7658 | 75   | 2.5659          | 3483824           |
| 0.0241        | 0.8168 | 80   | 2.5607          | 3724008           |
| 0.0229        | 0.8679 | 85   | 2.5589          | 3960312           |
| 0.0248        | 0.9190 | 90   | 2.5480          | 4198040           |
| 0.0236        | 0.9700 | 95   | 2.5445          | 4434000           |


### Framework versions

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