---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter4_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_iter4_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: 2.2138
- Num Input Tokens Seen: 5073848

## 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                 |
| 1.5334        | 0.0511 | 5    | 1.2716          | 258224            |
| 1.0476        | 0.1022 | 10   | 1.2402          | 516160            |
| 0.6789        | 0.1533 | 15   | 1.4191          | 780248            |
| 0.4452        | 0.2043 | 20   | 1.5919          | 1036256           |
| 0.2474        | 0.2554 | 25   | 1.7709          | 1301368           |
| 0.1388        | 0.3065 | 30   | 1.9171          | 1563976           |
| 0.1272        | 0.3576 | 35   | 2.0396          | 1822440           |
| 0.0532        | 0.4087 | 40   | 2.1483          | 2075376           |
| 0.051         | 0.4598 | 45   | 2.1510          | 2339344           |
| 0.0471        | 0.5109 | 50   | 2.2012          | 2612616           |
| 0.0398        | 0.5619 | 55   | 2.1902          | 2869216           |
| 0.0414        | 0.6130 | 60   | 2.2098          | 3123616           |
| 0.0326        | 0.6641 | 65   | 2.1951          | 3390016           |
| 0.0353        | 0.7152 | 70   | 2.1734          | 3658096           |
| 0.0301        | 0.7663 | 75   | 2.1824          | 3926288           |
| 0.0286        | 0.8174 | 80   | 2.1903          | 4184328           |
| 0.0316        | 0.8685 | 85   | 2.1851          | 4447976           |
| 0.0291        | 0.9195 | 90   | 2.2216          | 4705152           |
| 0.0276        | 0.9706 | 95   | 2.2168          | 4966096           |


### Framework versions

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