---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter6_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_iter6_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: 2.3509
- Num Input Tokens Seen: 4891248

## 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                 |
| 1.6111        | 0.0511 | 5    | 1.2746          | 256472            |
| 0.9464        | 0.1022 | 10   | 1.2781          | 505824            |
| 0.5045        | 0.1534 | 15   | 1.5132          | 755440            |
| 0.2581        | 0.2045 | 20   | 1.7434          | 1005848           |
| 0.1646        | 0.2556 | 25   | 1.9292          | 1255320           |
| 0.0521        | 0.3067 | 30   | 2.1045          | 1503448           |
| 0.0656        | 0.3578 | 35   | 2.2305          | 1753944           |
| 0.0534        | 0.4089 | 40   | 2.3242          | 2008656           |
| 0.0296        | 0.4601 | 45   | 2.3765          | 2257912           |
| 0.0334        | 0.5112 | 50   | 2.3208          | 2511848           |
| 0.0325        | 0.5623 | 55   | 2.2550          | 2768424           |
| 0.0526        | 0.6134 | 60   | 2.2720          | 3026208           |
| 0.0252        | 0.6645 | 65   | 2.2846          | 3281624           |
| 0.0247        | 0.7157 | 70   | 2.2932          | 3536472           |
| 0.0241        | 0.7668 | 75   | 2.3163          | 3787728           |
| 0.0238        | 0.8179 | 80   | 2.3276          | 4041280           |
| 0.0228        | 0.8690 | 85   | 2.3375          | 4291440           |
| 0.0234        | 0.9201 | 90   | 2.3306          | 4542072           |
| 0.0243        | 0.9712 | 95   | 2.3427          | 4793768           |


### Framework versions

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