---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter6_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_iter6_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: 2.4135
- Num Input Tokens Seen: 7971776

## 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    | 1.3956          | 0                 |
| 1.6219        | 0.0316 | 5    | 1.3079          | 253136            |
| 1.2932        | 0.0631 | 10   | 1.2378          | 505728            |
| 0.797         | 0.0947 | 15   | 1.2940          | 753248            |
| 0.6825        | 0.1263 | 20   | 1.4640          | 1008520           |
| 0.4083        | 0.1579 | 25   | 1.6136          | 1265712           |
| 0.2934        | 0.1894 | 30   | 1.7972          | 1522896           |
| 0.1426        | 0.2210 | 35   | 1.9343          | 1771056           |
| 0.0768        | 0.2526 | 40   | 2.0985          | 2021720           |
| 0.0598        | 0.2841 | 45   | 2.2231          | 2266568           |
| 0.0343        | 0.3157 | 50   | 2.2738          | 2525864           |
| 0.035         | 0.3473 | 55   | 2.3380          | 2773832           |
| 0.0341        | 0.3788 | 60   | 2.3578          | 3025992           |
| 0.0324        | 0.4104 | 65   | 2.3326          | 3282432           |
| 0.0339        | 0.4420 | 70   | 2.3815          | 3531744           |
| 0.0309        | 0.4736 | 75   | 2.4070          | 3780960           |
| 0.0319        | 0.5051 | 80   | 2.3871          | 4036832           |
| 0.03          | 0.5367 | 85   | 2.3862          | 4292040           |
| 0.0303        | 0.5683 | 90   | 2.3838          | 4532720           |
| 0.0295        | 0.5998 | 95   | 2.3943          | 4785512           |
| 0.0325        | 0.6314 | 100  | 2.3693          | 5041576           |
| 0.0321        | 0.6630 | 105  | 2.3452          | 5296640           |
| 0.0291        | 0.6946 | 110  | 2.3231          | 5545576           |
| 0.0271        | 0.7261 | 115  | 2.3197          | 5803840           |
| 0.025         | 0.7577 | 120  | 2.3552          | 6061792           |
| 0.0245        | 0.7893 | 125  | 2.3695          | 6314664           |
| 0.0595        | 0.8208 | 130  | 2.3968          | 6573472           |
| 0.0259        | 0.8524 | 135  | 2.4351          | 6821240           |
| 0.0262        | 0.8840 | 140  | 2.4190          | 7072472           |
| 0.0264        | 0.9155 | 145  | 2.4247          | 7323632           |
| 0.029         | 0.9471 | 150  | 2.4290          | 7572360           |
| 0.0282        | 0.9787 | 155  | 2.4186          | 7816368           |


### Framework versions

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