---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter10_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_iter10_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: 2.6696
- Num Input Tokens Seen: 8069592

## 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    | 1.3956          | 0                 |
| 1.6377        | 0.0316 | 5    | 1.3108          | 263072            |
| 1.1505        | 0.0632 | 10   | 1.2446          | 517208            |
| 0.7821        | 0.0947 | 15   | 1.3348          | 769888            |
| 0.5           | 0.1263 | 20   | 1.5482          | 1037144           |
| 0.2735        | 0.1579 | 25   | 1.6972          | 1289920           |
| 0.1577        | 0.1895 | 30   | 1.8590          | 1549584           |
| 0.1591        | 0.2211 | 35   | 2.0535          | 1806400           |
| 0.0789        | 0.2527 | 40   | 2.2425          | 2074288           |
| 0.0452        | 0.2842 | 45   | 2.3649          | 2329816           |
| 0.0415        | 0.3158 | 50   | 2.4586          | 2578632           |
| 0.0324        | 0.3474 | 55   | 2.5176          | 2837904           |
| 0.0304        | 0.3790 | 60   | 2.5963          | 3082160           |
| 0.0255        | 0.4106 | 65   | 2.6502          | 3339600           |
| 0.0273        | 0.4422 | 70   | 2.6701          | 3591560           |
| 0.028         | 0.4737 | 75   | 2.6985          | 3840656           |
| 0.0256        | 0.5053 | 80   | 2.6940          | 4100552           |
| 0.027         | 0.5369 | 85   | 2.6789          | 4356792           |
| 0.0266        | 0.5685 | 90   | 2.6323          | 4606856           |
| 0.0276        | 0.6001 | 95   | 2.6233          | 4858464           |
| 0.0273        | 0.6317 | 100  | 2.6164          | 5115304           |
| 0.0256        | 0.6632 | 105  | 2.6240          | 5366024           |
| 0.0266        | 0.6948 | 110  | 2.6399          | 5619944           |
| 0.0271        | 0.7264 | 115  | 2.6708          | 5867752           |
| 0.0253        | 0.7580 | 120  | 2.6610          | 6119896           |
| 0.027         | 0.7896 | 125  | 2.6729          | 6375064           |
| 0.0228        | 0.8212 | 130  | 2.6813          | 6630984           |
| 0.0245        | 0.8527 | 135  | 2.6851          | 6879904           |
| 0.0229        | 0.8843 | 140  | 2.6942          | 7128024           |
| 0.0242        | 0.9159 | 145  | 2.6830          | 7385408           |
| 0.0255        | 0.9475 | 150  | 2.6686          | 7653440           |
| 0.0241        | 0.9791 | 155  | 2.6643          | 7918000           |


### Framework versions

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