---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter19_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_iter19_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: 2.6313
- Num Input Tokens Seen: 4586296

## 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                 |
| 1.6265        | 0.0513 | 5    | 1.2809          | 240576            |
| 0.8464        | 0.1026 | 10   | 1.3184          | 478736            |
| 0.464         | 0.1538 | 15   | 1.5648          | 714752            |
| 0.1587        | 0.2051 | 20   | 1.7575          | 949952            |
| 0.1115        | 0.2564 | 25   | 1.9885          | 1188848           |
| 0.0459        | 0.3077 | 30   | 2.2789          | 1425720           |
| 0.0281        | 0.3590 | 35   | 2.4173          | 1661440           |
| 0.0227        | 0.4103 | 40   | 2.5453          | 1883136           |
| 0.0234        | 0.4615 | 45   | 2.6143          | 2119680           |
| 0.0251        | 0.5128 | 50   | 2.6521          | 2357408           |
| 0.0212        | 0.5641 | 55   | 2.6451          | 2594336           |
| 0.0217        | 0.6154 | 60   | 2.6474          | 2834280           |
| 0.02          | 0.6667 | 65   | 2.6435          | 3067200           |
| 0.0212        | 0.7179 | 70   | 2.6357          | 3305472           |
| 0.0208        | 0.7692 | 75   | 2.6311          | 3547016           |
| 0.0198        | 0.8205 | 80   | 2.6427          | 3785376           |
| 0.0212        | 0.8718 | 85   | 2.6364          | 4022648           |
| 0.0194        | 0.9231 | 90   | 2.6294          | 4260808           |
| 0.0206        | 0.9744 | 95   | 2.6309          | 4491424           |


### Framework versions

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