---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter2_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_iter2_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: 1.1158
- Num Input Tokens Seen: 5428320

## 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                 |
| 1.5252        | 0.0528 | 5    | 1.2603          | 290304            |
| 1.2884        | 0.1056 | 10   | 1.1731          | 575792            |
| 1.2154        | 0.1584 | 15   | 1.1435          | 868776            |
| 1.1343        | 0.2112 | 20   | 1.1179          | 1155912           |
| 1.0689        | 0.2640 | 25   | 1.1161          | 1444904           |
| 1.1257        | 0.3168 | 30   | 1.1142          | 1735312           |
| 1.0078        | 0.3696 | 35   | 1.1146          | 2027704           |
| 1.0816        | 0.4224 | 40   | 1.1123          | 2321120           |
| 0.9497        | 0.4752 | 45   | 1.1184          | 2612344           |
| 1.0082        | 0.5281 | 50   | 1.1232          | 2907048           |
| 0.9434        | 0.5809 | 55   | 1.1215          | 3190304           |
| 0.8983        | 0.6337 | 60   | 1.1277          | 3476720           |
| 0.8889        | 0.6865 | 65   | 1.1243          | 3763904           |
| 0.8076        | 0.7393 | 70   | 1.1252          | 4049648           |
| 0.8421        | 0.7921 | 75   | 1.1192          | 4333672           |
| 0.8074        | 0.8449 | 80   | 1.1250          | 4624536           |
| 0.8398        | 0.8977 | 85   | 1.1192          | 4918568           |
| 0.8359        | 0.9505 | 90   | 1.1157          | 5198200           |


### Framework versions

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