---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter2_sftsd1
  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_iter2_sftsd1

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: 1.4692
- Num Input Tokens Seen: 8037456

## 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: 1
- 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    | 1.3956          | 0                 |
| 1.6452        | 0.0346 | 5    | 1.3058          | 278656            |
| 1.3928        | 0.0692 | 10   | 1.2047          | 558136            |
| 1.3648        | 0.1038 | 15   | 1.1749          | 828560            |
| 1.1606        | 0.1383 | 20   | 1.1904          | 1108192           |
| 0.9722        | 0.1729 | 25   | 1.2270          | 1388824           |
| 0.8185        | 0.2075 | 30   | 1.3096          | 1665952           |
| 0.6731        | 0.2421 | 35   | 1.3850          | 1950056           |
| 0.5466        | 0.2767 | 40   | 1.4228          | 2228112           |
| 0.4882        | 0.3113 | 45   | 1.5026          | 2510296           |
| 0.4421        | 0.3459 | 50   | 1.4879          | 2795248           |
| 0.3396        | 0.3805 | 55   | 1.4673          | 3079696           |
| 0.2269        | 0.4150 | 60   | 1.5111          | 3363824           |
| 0.2738        | 0.4496 | 65   | 1.4618          | 3641232           |
| 0.3523        | 0.4842 | 70   | 1.4619          | 3912784           |
| 0.2859        | 0.5188 | 75   | 1.4459          | 4191336           |
| 0.1768        | 0.5534 | 80   | 1.4447          | 4471320           |
| 0.1786        | 0.5880 | 85   | 1.4194          | 4751488           |
| 0.1399        | 0.6226 | 90   | 1.4671          | 5027576           |
| 0.1653        | 0.6572 | 95   | 1.4218          | 5303728           |
| 0.1802        | 0.6917 | 100  | 1.4062          | 5582944           |
| 0.1076        | 0.7263 | 105  | 1.4140          | 5859696           |
| 0.16          | 0.7609 | 110  | 1.4109          | 6130248           |
| 0.0994        | 0.7955 | 115  | 1.4027          | 6409520           |
| 0.0925        | 0.8301 | 120  | 1.4232          | 6691040           |
| 0.114         | 0.8647 | 125  | 1.4581          | 6969344           |
| 0.1758        | 0.8993 | 130  | 1.4161          | 7248104           |
| 0.0975        | 0.9339 | 135  | 1.4421          | 7526360           |
| 0.1121        | 0.9684 | 140  | 1.4560          | 7808664           |


### Framework versions

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