---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter6_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_iter6_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: 2.5097
- Num Input Tokens Seen: 8170160

## 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    | 1.3956          | 0                 |
| 1.553         | 0.0316 | 5    | 1.3090          | 258336            |
| 1.1605        | 0.0632 | 10   | 1.2408          | 515760            |
| 0.8944        | 0.0948 | 15   | 1.2981          | 775720            |
| 0.5199        | 0.1264 | 20   | 1.5066          | 1026360           |
| 0.3638        | 0.1580 | 25   | 1.6259          | 1281232           |
| 0.217         | 0.1896 | 30   | 1.8240          | 1539752           |
| 0.1148        | 0.2212 | 35   | 1.9752          | 1796440           |
| 0.1057        | 0.2528 | 40   | 2.1133          | 2056024           |
| 0.0565        | 0.2844 | 45   | 2.2720          | 2315344           |
| 0.0582        | 0.3160 | 50   | 2.4049          | 2578576           |
| 0.0373        | 0.3476 | 55   | 2.5018          | 2831728           |
| 0.0341        | 0.3791 | 60   | 2.4419          | 3089328           |
| 0.0415        | 0.4107 | 65   | 2.4454          | 3350752           |
| 0.0285        | 0.4423 | 70   | 2.4645          | 3607904           |
| 0.0276        | 0.4739 | 75   | 2.5049          | 3874552           |
| 0.0304        | 0.5055 | 80   | 2.5111          | 4127008           |
| 0.027         | 0.5371 | 85   | 2.5041          | 4384976           |
| 0.029         | 0.5687 | 90   | 2.5237          | 4651128           |
| 0.0285        | 0.6003 | 95   | 2.5093          | 4909080           |
| 0.0287        | 0.6319 | 100  | 2.5117          | 5165688           |
| 0.0262        | 0.6635 | 105  | 2.5054          | 5415464           |
| 0.0259        | 0.6951 | 110  | 2.4879          | 5674272           |
| 0.0271        | 0.7267 | 115  | 2.4664          | 5934728           |
| 0.027         | 0.7583 | 120  | 2.4789          | 6187376           |
| 0.0288        | 0.7899 | 125  | 2.4795          | 6450096           |
| 0.0247        | 0.8215 | 130  | 2.4943          | 6712368           |
| 0.0248        | 0.8531 | 135  | 2.4960          | 6970504           |
| 0.0282        | 0.8847 | 140  | 2.5069          | 7232472           |
| 0.0266        | 0.9163 | 145  | 2.5055          | 7495824           |
| 0.0311        | 0.9479 | 150  | 2.5049          | 7758216           |
| 0.0237        | 0.9795 | 155  | 2.5113          | 8017088           |


### Framework versions

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