---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter19_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_accumulatesubsample_iter19_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: 1.2109
- Num Input Tokens Seen: 4937688

## 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                 |
| 1.2963        | 0.0534 | 5    | 1.2824          | 266400            |
| 1.0496        | 0.1067 | 10   | 1.2285          | 538144            |
| 0.9147        | 0.1601 | 15   | 1.2357          | 798048            |
| 0.773         | 0.2135 | 20   | 1.2779          | 1067320           |
| 0.635         | 0.2668 | 25   | 1.2615          | 1330240           |
| 0.6584        | 0.3202 | 30   | 1.2861          | 1596344           |
| 0.5049        | 0.3736 | 35   | 1.2864          | 1861336           |
| 0.5945        | 0.4270 | 40   | 1.2556          | 2123472           |
| 0.5127        | 0.4803 | 45   | 1.2573          | 2388944           |
| 0.5269        | 0.5337 | 50   | 1.2402          | 2657312           |
| 0.4278        | 0.5871 | 55   | 1.2537          | 2921360           |
| 0.4665        | 0.6404 | 60   | 1.2328          | 3187968           |
| 0.5046        | 0.6938 | 65   | 1.2301          | 3456832           |
| 0.5073        | 0.7472 | 70   | 1.2264          | 3722120           |
| 0.3945        | 0.8005 | 75   | 1.2260          | 3983472           |
| 0.338         | 0.8539 | 80   | 1.2163          | 4252048           |
| 0.3709        | 0.9073 | 85   | 1.2219          | 4516808           |
| 0.4595        | 0.9606 | 90   | 1.2109          | 4777360           |


### Framework versions

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