---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter18_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_iter18_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: 1.2320
- Num Input Tokens Seen: 4965616

## 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                 |
| 1.2383        | 0.0535 | 5    | 1.2809          | 261784            |
| 1.0702        | 0.1070 | 10   | 1.2352          | 527160            |
| 0.9047        | 0.1604 | 15   | 1.2298          | 796832            |
| 0.7863        | 0.2139 | 20   | 1.2596          | 1057200           |
| 0.7233        | 0.2674 | 25   | 1.2640          | 1317152           |
| 0.6138        | 0.3209 | 30   | 1.2867          | 1585112           |
| 0.6639        | 0.3743 | 35   | 1.2563          | 1848712           |
| 0.4351        | 0.4278 | 40   | 1.2637          | 2116952           |
| 0.4406        | 0.4813 | 45   | 1.2563          | 2389216           |
| 0.4663        | 0.5348 | 50   | 1.2317          | 2659560           |
| 0.5592        | 0.5882 | 55   | 1.2441          | 2932656           |
| 0.4722        | 0.6417 | 60   | 1.2254          | 3199512           |
| 0.5026        | 0.6952 | 65   | 1.2319          | 3467576           |
| 0.4221        | 0.7487 | 70   | 1.2160          | 3732536           |
| 0.3425        | 0.8021 | 75   | 1.2294          | 4000632           |
| 0.453         | 0.8556 | 80   | 1.2140          | 4266888           |
| 0.4114        | 0.9091 | 85   | 1.2336          | 4531504           |
| 0.4125        | 0.9626 | 90   | 1.2095          | 4801232           |


### Framework versions

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