---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter7_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_iter7_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: 1.1675
- Num Input Tokens Seen: 5022496

## 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                 |
| 1.4117        | 0.0532 | 5    | 1.2712          | 266592            |
| 1.1724        | 0.1063 | 10   | 1.1918          | 533048            |
| 1.0606        | 0.1595 | 15   | 1.1870          | 799288            |
| 0.8876        | 0.2126 | 20   | 1.2049          | 1066760           |
| 0.7677        | 0.2658 | 25   | 1.2150          | 1336544           |
| 0.823         | 0.3189 | 30   | 1.2520          | 1607968           |
| 0.6771        | 0.3721 | 35   | 1.2333          | 1874784           |
| 0.6136        | 0.4252 | 40   | 1.2067          | 2139928           |
| 0.6083        | 0.4784 | 45   | 1.2110          | 2411200           |
| 0.6399        | 0.5316 | 50   | 1.1935          | 2679224           |
| 0.5353        | 0.5847 | 55   | 1.1854          | 2944064           |
| 0.5082        | 0.6379 | 60   | 1.1890          | 3209088           |
| 0.4659        | 0.6910 | 65   | 1.1827          | 3473936           |
| 0.5292        | 0.7442 | 70   | 1.1786          | 3744800           |
| 0.4468        | 0.7973 | 75   | 1.1750          | 4009560           |
| 0.453         | 0.8505 | 80   | 1.1796          | 4274632           |
| 0.4064        | 0.9037 | 85   | 1.1718          | 4536408           |
| 0.4862        | 0.9568 | 90   | 1.1720          | 4804824           |


### Framework versions

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