---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_massive_iter1_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_massive_iter1_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: 1.0637
- Num Input Tokens Seen: 5698680

## 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                 |
| 1.3437        | 0.0511 | 5    | 1.2590          | 296352            |
| 1.1851        | 0.1021 | 10   | 1.1699          | 589152            |
| 1.1271        | 0.1532 | 15   | 1.1327          | 884504            |
| 1.0728        | 0.2042 | 20   | 1.1071          | 1182424           |
| 1.0945        | 0.2553 | 25   | 1.0974          | 1474984           |
| 1.0927        | 0.3063 | 30   | 1.0918          | 1772592           |
| 1.1145        | 0.3574 | 35   | 1.0878          | 2061504           |
| 1.0845        | 0.4084 | 40   | 1.0841          | 2358064           |
| 1.1001        | 0.4595 | 45   | 1.0813          | 2650896           |
| 1.0775        | 0.5105 | 50   | 1.0790          | 2942864           |
| 1.1246        | 0.5616 | 55   | 1.0766          | 3234512           |
| 1.101         | 0.6126 | 60   | 1.0743          | 3525376           |
| 1.0904        | 0.6637 | 65   | 1.0729          | 3820376           |
| 1.1705        | 0.7147 | 70   | 1.0709          | 4108240           |
| 1.0282        | 0.7658 | 75   | 1.0692          | 4402208           |
| 1.1463        | 0.8168 | 80   | 1.0681          | 4698016           |
| 1.0783        | 0.8679 | 85   | 1.0668          | 4991408           |
| 1.0052        | 0.9190 | 90   | 1.0649          | 5285784           |
| 1.0614        | 0.9700 | 95   | 1.0641          | 5580576           |


### Framework versions

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