---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter10_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_iter10_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: 2.5147
- Num Input Tokens Seen: 4732232

## 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                 |
| 1.4619        | 0.0511 | 5    | 1.2791          | 240912            |
| 0.8949        | 0.1022 | 10   | 1.3036          | 481944            |
| 0.478         | 0.1533 | 15   | 1.5412          | 722768            |
| 0.2271        | 0.2043 | 20   | 1.7643          | 969064            |
| 0.1021        | 0.2554 | 25   | 1.9727          | 1214488           |
| 0.0647        | 0.3065 | 30   | 2.2166          | 1459000           |
| 0.0316        | 0.3576 | 35   | 2.3927          | 1700400           |
| 0.0246        | 0.4087 | 40   | 2.4791          | 1945048           |
| 0.0259        | 0.4598 | 45   | 2.4862          | 2193112           |
| 0.0236        | 0.5109 | 50   | 2.4822          | 2435456           |
| 0.0205        | 0.5619 | 55   | 2.4775          | 2674224           |
| 0.0206        | 0.6130 | 60   | 2.4809          | 2918456           |
| 0.0233        | 0.6641 | 65   | 2.4910          | 3154264           |
| 0.0206        | 0.7152 | 70   | 2.4973          | 3394496           |
| 0.0216        | 0.7663 | 75   | 2.4903          | 3640792           |
| 0.0213        | 0.8174 | 80   | 2.4945          | 3895592           |
| 0.0199        | 0.8685 | 85   | 2.5025          | 4138160           |
| 0.0223        | 0.9195 | 90   | 2.5100          | 4383520           |
| 0.0217        | 0.9706 | 95   | 2.5158          | 4628920           |


### Framework versions

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