---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter4_sftsd1
  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_accumulatesubsample_iter4_sftsd1

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: 1.1502
- Num Input Tokens Seen: 5139552

## 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: 1
- 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                 |
| 1.4366        | 0.0537 | 5    | 1.2652          | 272808            |
| 1.205         | 0.1075 | 10   | 1.1792          | 543728            |
| 1.0601        | 0.1612 | 15   | 1.1613          | 817168            |
| 0.9601        | 0.2149 | 20   | 1.1532          | 1092816           |
| 0.9378        | 0.2686 | 25   | 1.1523          | 1371272           |
| 0.9852        | 0.3224 | 30   | 1.1648          | 1652968           |
| 0.9609        | 0.3761 | 35   | 1.1735          | 1931576           |
| 0.8948        | 0.4298 | 40   | 1.1661          | 2213968           |
| 0.8069        | 0.4835 | 45   | 1.1685          | 2496776           |
| 0.6446        | 0.5373 | 50   | 1.1695          | 2771880           |
| 0.7284        | 0.5910 | 55   | 1.1612          | 3049008           |
| 0.6245        | 0.6447 | 60   | 1.1637          | 3321840           |
| 0.5641        | 0.6985 | 65   | 1.1559          | 3594864           |
| 0.5613        | 0.7522 | 70   | 1.1590          | 3871512           |
| 0.6246        | 0.8059 | 75   | 1.1572          | 4140888           |
| 0.6635        | 0.8596 | 80   | 1.1523          | 4417664           |
| 0.626         | 0.9134 | 85   | 1.1528          | 4694904           |
| 0.579         | 0.9671 | 90   | 1.1477          | 4973416           |


### Framework versions

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