---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter13_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_iter13_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: 2.5548
- Num Input Tokens Seen: 4774568

## 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                 |
| 1.4158        | 0.0511 | 5    | 1.2853          | 256896            |
| 0.6749        | 0.1021 | 10   | 1.3498          | 518344            |
| 0.4718        | 0.1532 | 15   | 1.5553          | 765600            |
| 0.2803        | 0.2042 | 20   | 1.8024          | 1008792           |
| 0.0977        | 0.2553 | 25   | 2.0325          | 1254400           |
| 0.0584        | 0.3063 | 30   | 2.3093          | 1495152           |
| 0.033         | 0.3574 | 35   | 2.3717          | 1729824           |
| 0.0354        | 0.4084 | 40   | 2.4933          | 1973368           |
| 0.0287        | 0.4595 | 45   | 2.5809          | 2215232           |
| 0.025         | 0.5105 | 50   | 2.5574          | 2460080           |
| 0.0243        | 0.5616 | 55   | 2.5655          | 2710264           |
| 0.0257        | 0.6126 | 60   | 2.5953          | 2951568           |
| 0.0209        | 0.6637 | 65   | 2.5973          | 3212176           |
| 0.022         | 0.7147 | 70   | 2.5813          | 3451504           |
| 0.0235        | 0.7658 | 75   | 2.5753          | 3699880           |
| 0.0247        | 0.8168 | 80   | 2.5757          | 3944104           |
| 0.0226        | 0.8679 | 85   | 2.5800          | 4192928           |
| 0.0232        | 0.9190 | 90   | 2.5649          | 4436328           |
| 0.0227        | 0.9700 | 95   | 2.5695          | 4674672           |


### Framework versions

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