---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter18_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_accumulatesubsample_iter18_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: 1.2012
- Num Input Tokens Seen: 4866032

## 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                 |
| 1.4189        | 0.0527 | 5    | 1.2765          | 258624            |
| 0.9994        | 0.1053 | 10   | 1.2087          | 518872            |
| 0.9465        | 0.1580 | 15   | 1.2227          | 764216            |
| 0.6926        | 0.2107 | 20   | 1.2787          | 1024832           |
| 0.7235        | 0.2633 | 25   | 1.2728          | 1288048           |
| 0.6502        | 0.3160 | 30   | 1.2796          | 1549192           |
| 0.5507        | 0.3687 | 35   | 1.2801          | 1810408           |
| 0.4606        | 0.4213 | 40   | 1.2544          | 2071688           |
| 0.3668        | 0.4740 | 45   | 1.2498          | 2323016           |
| 0.358         | 0.5267 | 50   | 1.2442          | 2589208           |
| 0.3527        | 0.5793 | 55   | 1.2084          | 2844384           |
| 0.4372        | 0.6320 | 60   | 1.2294          | 3100696           |
| 0.3068        | 0.6847 | 65   | 1.2174          | 3351336           |
| 0.3254        | 0.7373 | 70   | 1.2254          | 3615008           |
| 0.3402        | 0.7900 | 75   | 1.2190          | 3868904           |
| 0.3489        | 0.8427 | 80   | 1.2200          | 4132088           |
| 0.2991        | 0.8953 | 85   | 1.2094          | 4391104           |
| 0.2674        | 0.9480 | 90   | 1.2146          | 4654296           |


### Framework versions

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