---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_accumulate_iter2_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_iter2_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: 0.9209
- Num Input Tokens Seen: 9209636

## 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                 |
| 1.7181        | 0.0278 | 5    | 1.0178          | 258940            |
| 1.5727        | 0.0556 | 10   | 0.9732          | 523840            |
| 1.4846        | 0.0834 | 15   | 0.9611          | 775600            |
| 1.5742        | 0.1113 | 20   | 0.9573          | 1031780           |
| 1.5061        | 0.1391 | 25   | 0.9571          | 1291404           |
| 1.2746        | 0.1669 | 30   | 0.9544          | 1551680           |
| 1.2702        | 0.1947 | 35   | 0.9557          | 1808156           |
| 1.329         | 0.2225 | 40   | 0.9525          | 2060568           |
| 1.1092        | 0.2503 | 45   | 0.9495          | 2319496           |
| 0.9658        | 0.2782 | 50   | 0.9482          | 2567632           |
| 1.0994        | 0.3060 | 55   | 0.9444          | 2831744           |
| 1.0686        | 0.3338 | 60   | 0.9435          | 3087788           |
| 1.115         | 0.3616 | 65   | 0.9405          | 3340312           |
| 1.0044        | 0.3894 | 70   | 0.9375          | 3602000           |
| 1.1384        | 0.4172 | 75   | 0.9357          | 3868648           |
| 1.0943        | 0.4451 | 80   | 0.9361          | 4121888           |
| 1.0129        | 0.4729 | 85   | 0.9323          | 4375104           |
| 0.9281        | 0.5007 | 90   | 0.9314          | 4629144           |
| 0.9001        | 0.5285 | 95   | 0.9316          | 4881800           |
| 1.0471        | 0.5563 | 100  | 0.9303          | 5142288           |
| 1.0141        | 0.5841 | 105  | 0.9302          | 5398480           |
| 1.0427        | 0.6120 | 110  | 0.9280          | 5651544           |
| 0.9628        | 0.6398 | 115  | 0.9274          | 5904284           |
| 0.8986        | 0.6676 | 120  | 0.9257          | 6160992           |
| 0.9081        | 0.6954 | 125  | 0.9279          | 6427076           |
| 0.957         | 0.7232 | 130  | 0.9241          | 6686176           |
| 0.9556        | 0.7510 | 135  | 0.9246          | 6942364           |
| 0.9609        | 0.7789 | 140  | 0.9244          | 7193836           |
| 0.9889        | 0.8067 | 145  | 0.9228          | 7452352           |
| 0.9009        | 0.8345 | 150  | 0.9231          | 7708728           |
| 0.8942        | 0.8623 | 155  | 0.9217          | 7969644           |
| 0.9304        | 0.8901 | 160  | 0.9216          | 8223032           |
| 0.9462        | 0.9179 | 165  | 0.9212          | 8481188           |
| 0.9904        | 0.9458 | 170  | 0.9204          | 8743924           |
| 0.9147        | 0.9736 | 175  | 0.9204          | 8999112           |


### Framework versions

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