---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter2_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_accumulatesubsample_iter2_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: 1.1121
- Num Input Tokens Seen: 5349352

## 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                 |
| 1.4359        | 0.0531 | 5    | 1.2593          | 290040            |
| 1.2724        | 0.1062 | 10   | 1.1701          | 574448            |
| 1.1212        | 0.1594 | 15   | 1.1427          | 862264            |
| 1.1336        | 0.2125 | 20   | 1.1165          | 1143592           |
| 1.1278        | 0.2656 | 25   | 1.1143          | 1425768           |
| 1.0877        | 0.3187 | 30   | 1.1128          | 1712792           |
| 1.125         | 0.3718 | 35   | 1.1153          | 1997256           |
| 0.9832        | 0.4250 | 40   | 1.1182          | 2283416           |
| 1.0435        | 0.4781 | 45   | 1.1187          | 2567600           |
| 1.019         | 0.5312 | 50   | 1.1236          | 2847824           |
| 0.8503        | 0.5843 | 55   | 1.1216          | 3131552           |
| 0.8296        | 0.6375 | 60   | 1.1273          | 3417136           |
| 0.903         | 0.6906 | 65   | 1.1259          | 3704664           |
| 0.9499        | 0.7437 | 70   | 1.1227          | 3983088           |
| 0.8753        | 0.7968 | 75   | 1.1205          | 4272000           |
| 0.7801        | 0.8499 | 80   | 1.1197          | 4559656           |
| 0.7972        | 0.9031 | 85   | 1.1161          | 4845112           |
| 0.7402        | 0.9562 | 90   | 1.1193          | 5124568           |


### Framework versions

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