---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter14_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_iter14_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: 2.5786
- Num Input Tokens Seen: 4691896

## 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                 |
| 1.5832        | 0.0511 | 5    | 1.2796          | 241616            |
| 0.8587        | 0.1021 | 10   | 1.3016          | 479616            |
| 0.4185        | 0.1532 | 15   | 1.5403          | 721488            |
| 0.2308        | 0.2042 | 20   | 1.7468          | 964136            |
| 0.1045        | 0.2553 | 25   | 2.0213          | 1208880           |
| 0.0619        | 0.3063 | 30   | 2.2027          | 1454104           |
| 0.0318        | 0.3574 | 35   | 2.3840          | 1702688           |
| 0.0249        | 0.4084 | 40   | 2.4977          | 1942392           |
| 0.0229        | 0.4595 | 45   | 2.5368          | 2183280           |
| 0.0206        | 0.5105 | 50   | 2.5589          | 2426192           |
| 0.0223        | 0.5616 | 55   | 2.5742          | 2665256           |
| 0.0204        | 0.6126 | 60   | 2.5825          | 2909424           |
| 0.0209        | 0.6637 | 65   | 2.5771          | 3148624           |
| 0.0203        | 0.7147 | 70   | 2.5744          | 3384112           |
| 0.02          | 0.7658 | 75   | 2.5874          | 3631480           |
| 0.0222        | 0.8168 | 80   | 2.5799          | 3869320           |
| 0.0208        | 0.8679 | 85   | 2.5673          | 4113768           |
| 0.0216        | 0.9190 | 90   | 2.5709          | 4346680           |
| 0.0211        | 0.9700 | 95   | 2.5779          | 4595608           |


### Framework versions

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