---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_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_replace_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: 2.1795
- Num Input Tokens Seen: 5060896

## 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                 |
| 1.4673        | 0.0513 | 5    | 1.2702          | 264264            |
| 1.0669        | 0.1026 | 10   | 1.2304          | 526720            |
| 0.7222        | 0.1539 | 15   | 1.3963          | 784504            |
| 0.5116        | 0.2053 | 20   | 1.5787          | 1043032           |
| 0.2412        | 0.2566 | 25   | 1.7312          | 1300648           |
| 0.1173        | 0.3079 | 30   | 1.9555          | 1556464           |
| 0.0997        | 0.3592 | 35   | 2.0520          | 1819864           |
| 0.0682        | 0.4105 | 40   | 2.2350          | 2079728           |
| 0.0725        | 0.4618 | 45   | 2.2192          | 2342280           |
| 0.0317        | 0.5131 | 50   | 2.1794          | 2602208           |
| 0.0312        | 0.5645 | 55   | 2.1793          | 2868280           |
| 0.0593        | 0.6158 | 60   | 2.1587          | 3132504           |
| 0.0364        | 0.6671 | 65   | 2.1674          | 3394504           |
| 0.0304        | 0.7184 | 70   | 2.1789          | 3655584           |
| 0.0329        | 0.7697 | 75   | 2.1921          | 3911664           |
| 0.0333        | 0.8210 | 80   | 2.1670          | 4171336           |
| 0.0283        | 0.8724 | 85   | 2.1704          | 4428472           |
| 0.0297        | 0.9237 | 90   | 2.1697          | 4685656           |
| 0.0241        | 0.9750 | 95   | 2.1790          | 4955984           |


### Framework versions

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