---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_massive_iter1_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_massive_iter1_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: 1.0638
- Num Input Tokens Seen: 5709936

## 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                 |
| 1.2754        | 0.0511 | 5    | 1.2593          | 285512            |
| 1.2153        | 0.1021 | 10   | 1.1717          | 578296            |
| 1.1556        | 0.1532 | 15   | 1.1341          | 873440            |
| 1.1445        | 0.2042 | 20   | 1.1080          | 1168560           |
| 1.0672        | 0.2553 | 25   | 1.0979          | 1463952           |
| 1.1502        | 0.3063 | 30   | 1.0929          | 1754024           |
| 1.0342        | 0.3574 | 35   | 1.0884          | 2046160           |
| 1.0635        | 0.4084 | 40   | 1.0853          | 2341224           |
| 1.1419        | 0.4595 | 45   | 1.0824          | 2635056           |
| 1.0155        | 0.5105 | 50   | 1.0796          | 2927424           |
| 1.0927        | 0.5616 | 55   | 1.0768          | 3221968           |
| 1.1001        | 0.6126 | 60   | 1.0747          | 3519568           |
| 1.0711        | 0.6637 | 65   | 1.0727          | 3816688           |
| 1.0622        | 0.7147 | 70   | 1.0711          | 4117768           |
| 1.0785        | 0.7658 | 75   | 1.0695          | 4418488           |
| 1.154         | 0.8168 | 80   | 1.0683          | 4709408           |
| 1.1034        | 0.8679 | 85   | 1.0669          | 5000912           |
| 1.0458        | 0.9190 | 90   | 1.0655          | 5295112           |
| 1.0685        | 0.9700 | 95   | 1.0642          | 5591032           |


### Framework versions

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