---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter18_sftsd2
  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_sftsd2

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: 2.6236
- Num Input Tokens Seen: 4624112

## 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: 2
- 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                 |
| 1.5938        | 0.0511 | 5    | 1.2801          | 239496            |
| 0.8257        | 0.1021 | 10   | 1.3276          | 475896            |
| 0.3781        | 0.1532 | 15   | 1.5795          | 715416            |
| 0.203         | 0.2042 | 20   | 1.7945          | 958344            |
| 0.0828        | 0.2553 | 25   | 2.1123          | 1201808           |
| 0.0475        | 0.3063 | 30   | 2.2986          | 1441936           |
| 0.0255        | 0.3574 | 35   | 2.4401          | 1685128           |
| 0.0238        | 0.4084 | 40   | 2.5437          | 1923208           |
| 0.0205        | 0.4595 | 45   | 2.6059          | 2159992           |
| 0.0217        | 0.5105 | 50   | 2.6290          | 2396440           |
| 0.0236        | 0.5616 | 55   | 2.6241          | 2630120           |
| 0.0209        | 0.6126 | 60   | 2.6176          | 2871120           |
| 0.0202        | 0.6637 | 65   | 2.6088          | 3102520           |
| 0.0202        | 0.7147 | 70   | 2.6099          | 3337176           |
| 0.0194        | 0.7658 | 75   | 2.6224          | 3580072           |
| 0.022         | 0.8168 | 80   | 2.6128          | 3811176           |
| 0.0201        | 0.8679 | 85   | 2.6123          | 4053312           |
| 0.022         | 0.9190 | 90   | 2.6136          | 4283408           |
| 0.0201        | 0.9700 | 95   | 2.6248          | 4529888           |


### Framework versions

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