---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_accumulate_iter3_sftsd0
  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-2-27b_hs2_accumulate_iter3_sftsd0

This model is a fine-tuned version of [google/gemma-2-27b](https://huggingface.co/google/gemma-2-27b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9289
- Num Input Tokens Seen: 13382208

## 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: 4
- eval_batch_size: 16
- seed: 0
- gradient_accumulation_steps: 32
- 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    | 1.1282          | 0                 |
| 2.5273        | 0.0186 | 5    | 1.0497          | 239432            |
| 2.2642        | 0.0371 | 10   | 0.9938          | 490472            |
| 2.1944        | 0.0557 | 15   | 0.9799          | 738476            |
| 2.0449        | 0.0742 | 20   | 0.9761          | 991768            |
| 1.7622        | 0.0928 | 25   | 0.9788          | 1234816           |
| 1.6823        | 0.1113 | 30   | 0.9860          | 1486428           |
| 1.5237        | 0.1299 | 35   | 0.9862          | 1735404           |
| 1.4638        | 0.1484 | 40   | 0.9833          | 1983880           |
| 1.2775        | 0.1670 | 45   | 0.9803          | 2226820           |
| 1.246         | 0.1855 | 50   | 0.9762          | 2471660           |
| 1.1798        | 0.2041 | 55   | 0.9701          | 2723564           |
| 1.1618        | 0.2226 | 60   | 0.9658          | 2969216           |
| 1.1255        | 0.2412 | 65   | 0.9656          | 3218648           |
| 0.902         | 0.2597 | 70   | 0.9609          | 3474940           |
| 0.873         | 0.2783 | 75   | 0.9577          | 3721068           |
| 0.7585        | 0.2968 | 80   | 0.9560          | 3977036           |
| 0.9329        | 0.3154 | 85   | 0.9542          | 4227848           |
| 0.9888        | 0.3340 | 90   | 0.9544          | 4471040           |
| 0.8856        | 0.3525 | 95   | 0.9510          | 4719044           |
| 0.8959        | 0.3711 | 100  | 0.9519          | 4966088           |
| 0.707         | 0.3896 | 105  | 0.9476          | 5210868           |
| 0.8089        | 0.4082 | 110  | 0.9476          | 5470016           |
| 0.7476        | 0.4267 | 115  | 0.9459          | 5718420           |
| 0.6473        | 0.4453 | 120  | 0.9438          | 5972536           |
| 0.758         | 0.4638 | 125  | 0.9435          | 6221248           |
| 0.8454        | 0.4824 | 130  | 0.9403          | 6475340           |
| 0.7976        | 0.5009 | 135  | 0.9412          | 6727528           |
| 0.8476        | 0.5195 | 140  | 0.9400          | 6982388           |
| 0.7554        | 0.5380 | 145  | 0.9387          | 7218200           |
| 0.7193        | 0.5566 | 150  | 0.9386          | 7466484           |
| 0.6614        | 0.5751 | 155  | 0.9378          | 7709588           |
| 0.7586        | 0.5937 | 160  | 0.9344          | 7958964           |
| 0.769         | 0.6122 | 165  | 0.9353          | 8214680           |
| 0.6696        | 0.6308 | 170  | 0.9347          | 8457832           |
| 0.8566        | 0.6494 | 175  | 0.9377          | 8710088           |
| 0.8531        | 0.6679 | 180  | 0.9346          | 8959260           |
| 0.8454        | 0.6865 | 185  | 0.9346          | 9216248           |
| 0.7314        | 0.7050 | 190  | 0.9330          | 9465964           |
| 0.914         | 0.7236 | 195  | 0.9326          | 9718276           |
| 0.6292        | 0.7421 | 200  | 0.9335          | 9963556           |
| 0.683         | 0.7607 | 205  | 0.9348          | 10204596          |
| 0.5968        | 0.7792 | 210  | 0.9338          | 10460212          |
| 0.7731        | 0.7978 | 215  | 0.9338          | 10712008          |
| 0.707         | 0.8163 | 220  | 0.9318          | 10955092          |
| 0.7059        | 0.8349 | 225  | 0.9348          | 11197300          |
| 0.6878        | 0.8534 | 230  | 0.9301          | 11440440          |
| 0.6978        | 0.8720 | 235  | 0.9312          | 11685992          |
| 0.8379        | 0.8905 | 240  | 0.9294          | 11928976          |
| 0.8208        | 0.9091 | 245  | 0.9331          | 12185160          |
| 0.7653        | 0.9276 | 250  | 0.9314          | 12430192          |
| 0.7021        | 0.9462 | 255  | 0.9295          | 12684252          |
| 0.78          | 0.9647 | 260  | 0.9327          | 12932032          |
| 0.6731        | 0.9833 | 265  | 0.9279          | 13180768          |


### Framework versions

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