---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter6_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_iter6_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: 2.4776
- Num Input Tokens Seen: 4931704

## 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    | 1.3909          | 0                 |
| 1.5189        | 0.0513 | 5    | 1.2749          | 258200            |
| 0.9714        | 0.1026 | 10   | 1.2495          | 517512            |
| 0.6202        | 0.1539 | 15   | 1.4088          | 775024            |
| 0.3538        | 0.2053 | 20   | 1.6032          | 1026560           |
| 0.2158        | 0.2566 | 25   | 1.8219          | 1270944           |
| 0.1167        | 0.3079 | 30   | 2.0376          | 1527480           |
| 0.0654        | 0.3592 | 35   | 2.2660          | 1777448           |
| 0.0393        | 0.4105 | 40   | 2.3894          | 2029984           |
| 0.031         | 0.4618 | 45   | 2.4278          | 2278552           |
| 0.0292        | 0.5131 | 50   | 2.4650          | 2534640           |
| 0.0258        | 0.5645 | 55   | 2.4896          | 2783408           |
| 0.0255        | 0.6158 | 60   | 2.4676          | 3035384           |
| 0.0235        | 0.6671 | 65   | 2.4426          | 3294576           |
| 0.0249        | 0.7184 | 70   | 2.4442          | 3548680           |
| 0.0231        | 0.7697 | 75   | 2.4505          | 3807912           |
| 0.0249        | 0.8210 | 80   | 2.4582          | 4065352           |
| 0.0225        | 0.8724 | 85   | 2.4512          | 4318600           |
| 0.0216        | 0.9237 | 90   | 2.4613          | 4577512           |
| 0.021         | 0.9750 | 95   | 2.4749          | 4833752           |


### Framework versions

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