---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_accumulate_iter4_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-2-27b_hs2_accumulate_iter4_sftsd2

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: 0.9397
- Num Input Tokens Seen: 17213660

## 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: 2
- 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                 |
| 2.8683        | 0.0141 | 5    | 1.0844          | 236836            |
| 2.4917        | 0.0282 | 10   | 1.0063          | 477060            |
| 2.4805        | 0.0423 | 15   | 0.9925          | 726020            |
| 2.4109        | 0.0564 | 20   | 0.9841          | 973680            |
| 2.296         | 0.0705 | 25   | 0.9858          | 1223540           |
| 2.0121        | 0.0846 | 30   | 0.9919          | 1470300           |
| 1.7927        | 0.0987 | 35   | 0.9894          | 1718324           |
| 1.8281        | 0.1128 | 40   | 0.9977          | 1962952           |
| 1.7373        | 0.1268 | 45   | 0.9951          | 2208104           |
| 1.5941        | 0.1409 | 50   | 0.9881          | 2455412           |
| 1.6058        | 0.1550 | 55   | 0.9857          | 2696832           |
| 1.0647        | 0.1691 | 60   | 0.9818          | 2941868           |
| 1.1676        | 0.1832 | 65   | 0.9758          | 3188060           |
| 1.2806        | 0.1973 | 70   | 0.9758          | 3427696           |
| 1.0585        | 0.2114 | 75   | 0.9734          | 3672608           |
| 1.0442        | 0.2255 | 80   | 0.9696          | 3910204           |
| 1.0145        | 0.2396 | 85   | 0.9699          | 4146872           |
| 1.0364        | 0.2537 | 90   | 0.9652          | 4394008           |
| 1.0252        | 0.2678 | 95   | 0.9647          | 4635300           |
| 0.969         | 0.2819 | 100  | 0.9630          | 4879116           |
| 0.7795        | 0.2960 | 105  | 0.9612          | 5118936           |
| 0.8606        | 0.3101 | 110  | 0.9571          | 5366792           |
| 1.0389        | 0.3242 | 115  | 0.9581          | 5612876           |
| 0.8369        | 0.3383 | 120  | 0.9558          | 5861964           |
| 0.8261        | 0.3524 | 125  | 0.9563          | 6109352           |
| 0.7797        | 0.3665 | 130  | 0.9521          | 6350016           |
| 0.91          | 0.3805 | 135  | 0.9539          | 6594400           |
| 0.9656        | 0.3946 | 140  | 0.9528          | 6829540           |
| 0.8705        | 0.4087 | 145  | 0.9517          | 7073132           |
| 0.9275        | 0.4228 | 150  | 0.9501          | 7317792           |
| 0.7878        | 0.4369 | 155  | 0.9495          | 7562692           |
| 0.79          | 0.4510 | 160  | 0.9493          | 7804712           |
| 0.9756        | 0.4651 | 165  | 0.9486          | 8045908           |
| 0.831         | 0.4792 | 170  | 0.9501          | 8295248           |
| 0.7312        | 0.4933 | 175  | 0.9482          | 8539448           |
| 0.8828        | 0.5074 | 180  | 0.9462          | 8782312           |
| 0.654         | 0.5215 | 185  | 0.9476          | 9028520           |
| 0.9007        | 0.5356 | 190  | 0.9451          | 9272816           |
| 0.7856        | 0.5497 | 195  | 0.9463          | 9519724           |
| 0.6986        | 0.5638 | 200  | 0.9445          | 9769440           |
| 0.8185        | 0.5779 | 205  | 0.9482          | 10012624          |
| 0.7951        | 0.5920 | 210  | 0.9453          | 10257436          |
| 0.7885        | 0.6061 | 215  | 0.9442          | 10497084          |
| 0.8135        | 0.6202 | 220  | 0.9452          | 10726612          |
| 0.8553        | 0.6342 | 225  | 0.9432          | 10964756          |
| 0.7149        | 0.6483 | 230  | 0.9454          | 11206028          |
| 0.796         | 0.6624 | 235  | 0.9439          | 11446772          |
| 0.7876        | 0.6765 | 240  | 0.9443          | 11686044          |
| 0.7328        | 0.6906 | 245  | 0.9433          | 11936452          |
| 0.8117        | 0.7047 | 250  | 0.9431          | 12174492          |
| 0.9161        | 0.7188 | 255  | 0.9400          | 12410412          |
| 0.6793        | 0.7329 | 260  | 0.9424          | 12649736          |
| 0.7372        | 0.7470 | 265  | 0.9430          | 12887028          |
| 0.6329        | 0.7611 | 270  | 0.9402          | 13126712          |
| 0.8913        | 0.7752 | 275  | 0.9416          | 13368188          |
| 0.83          | 0.7893 | 280  | 0.9409          | 13615264          |
| 0.6657        | 0.8034 | 285  | 0.9400          | 13855436          |
| 0.9027        | 0.8175 | 290  | 0.9404          | 14102064          |
| 0.7206        | 0.8316 | 295  | 0.9401          | 14340172          |
| 0.7678        | 0.8457 | 300  | 0.9399          | 14573172          |
| 0.8187        | 0.8598 | 305  | 0.9401          | 14816224          |
| 0.6861        | 0.8739 | 310  | 0.9399          | 15065152          |
| 0.8274        | 0.8879 | 315  | 0.9384          | 15306488          |
| 0.8374        | 0.9020 | 320  | 0.9391          | 15543972          |
| 0.7515        | 0.9161 | 325  | 0.9370          | 15780660          |
| 0.8439        | 0.9302 | 330  | 0.9393          | 16027512          |
| 0.7666        | 0.9443 | 335  | 0.9410          | 16271828          |
| 0.7781        | 0.9584 | 340  | 0.9404          | 16516708          |
| 0.77          | 0.9725 | 345  | 0.9435          | 16772604          |
| 0.6227        | 0.9866 | 350  | 0.9362          | 17015180          |


### Framework versions

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