---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_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_replace_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: 2.6152
- Num Input Tokens Seen: 4612568

## 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                 |
| 1.4791        | 0.0511 | 5    | 1.2823          | 234336            |
| 0.7755        | 0.1021 | 10   | 1.3555          | 468312            |
| 0.5206        | 0.1532 | 15   | 1.5591          | 705040            |
| 0.2677        | 0.2042 | 20   | 1.8280          | 942456            |
| 0.1169        | 0.2553 | 25   | 2.1030          | 1175928           |
| 0.0577        | 0.3063 | 30   | 2.3359          | 1415480           |
| 0.0419        | 0.3574 | 35   | 2.4555          | 1658512           |
| 0.0294        | 0.4084 | 40   | 2.5475          | 1894936           |
| 0.0247        | 0.4595 | 45   | 2.5924          | 2129624           |
| 0.0226        | 0.5105 | 50   | 2.6222          | 2365768           |
| 0.0234        | 0.5616 | 55   | 2.6268          | 2602808           |
| 0.0241        | 0.6126 | 60   | 2.6131          | 2839776           |
| 0.0235        | 0.6637 | 65   | 2.6022          | 3083424           |
| 0.0211        | 0.7147 | 70   | 2.5919          | 3314048           |
| 0.024         | 0.7658 | 75   | 2.5998          | 3557112           |
| 0.0232        | 0.8168 | 80   | 2.5986          | 3792832           |
| 0.0231        | 0.8679 | 85   | 2.5935          | 4040848           |
| 0.0237        | 0.9190 | 90   | 2.6008          | 4281816           |
| 0.0221        | 0.9700 | 95   | 2.6136          | 4515280           |


### Framework versions

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