---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter8_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-2-2b_hs2_replace_iter8_sftsd0

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: 2.4272
- Num Input Tokens Seen: 4951896

## 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: 0
- 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                 |
| 1.5175        | 0.0513 | 5    | 1.2789          | 257144            |
| 0.9829        | 0.1026 | 10   | 1.3042          | 514112            |
| 0.6046        | 0.1539 | 15   | 1.5441          | 764984            |
| 0.2914        | 0.2053 | 20   | 1.7425          | 1029856           |
| 0.1385        | 0.2566 | 25   | 1.9543          | 1280440           |
| 0.0926        | 0.3079 | 30   | 2.1538          | 1540792           |
| 0.0413        | 0.3592 | 35   | 2.3295          | 1791360           |
| 0.0362        | 0.4105 | 40   | 2.3097          | 2050952           |
| 0.0301        | 0.4618 | 45   | 2.3998          | 2309592           |
| 0.0253        | 0.5131 | 50   | 2.3280          | 2558648           |
| 0.0348        | 0.5645 | 55   | 2.3369          | 2824704           |
| 0.0323        | 0.6158 | 60   | 2.3580          | 3080328           |
| 0.0331        | 0.6671 | 65   | 2.3628          | 3333360           |
| 0.0257        | 0.7184 | 70   | 2.3566          | 3579552           |
| 0.0228        | 0.7697 | 75   | 2.3590          | 3836760           |
| 0.021         | 0.8210 | 80   | 2.3724          | 4089776           |
| 0.0232        | 0.8724 | 85   | 2.3932          | 4342392           |
| 0.0223        | 0.9237 | 90   | 2.4080          | 4600240           |
| 0.0243        | 0.9750 | 95   | 2.4271          | 4849520           |


### Framework versions

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