---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter2_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_iter2_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: 1.6314
- Num Input Tokens Seen: 4852992

## 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    | 1.3911          | 0                 |
| 1.5169        | 0.0579 | 5    | 1.2663          | 285536            |
| 1.3736        | 0.1158 | 10   | 1.1918          | 567456            |
| 1.1135        | 0.1737 | 15   | 1.2205          | 844248            |
| 0.8215        | 0.2315 | 20   | 1.2889          | 1125792           |
| 0.7           | 0.2894 | 25   | 1.3912          | 1408488           |
| 0.4534        | 0.3473 | 30   | 1.4630          | 1691120           |
| 0.4168        | 0.4052 | 35   | 1.5283          | 1974504           |
| 0.3295        | 0.4631 | 40   | 1.5404          | 2257232           |
| 0.1989        | 0.5210 | 45   | 1.4892          | 2538768           |
| 0.2135        | 0.5789 | 50   | 1.5781          | 2821752           |
| 0.1784        | 0.6368 | 55   | 1.4920          | 3105616           |
| 0.1314        | 0.6946 | 60   | 1.5251          | 3381944           |
| 0.1645        | 0.7525 | 65   | 1.5864          | 3666096           |
| 0.0937        | 0.8104 | 70   | 1.4925          | 3946448           |
| 0.1406        | 0.8683 | 75   | 1.5310          | 4234720           |
| 0.1477        | 0.9262 | 80   | 1.5799          | 4512080           |
| 0.0654        | 0.9841 | 85   | 1.6488          | 4796248           |


### Framework versions

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