---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter5_sftsd0
  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_iter5_sftsd0

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: 2.3657
- Num Input Tokens Seen: 8077024

## 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: 0
- 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                 |
| 1.6417        | 0.0316 | 5    | 1.3077          | 259488            |
| 1.2388        | 0.0632 | 10   | 1.2367          | 506760            |
| 0.8793        | 0.0947 | 15   | 1.2729          | 765824            |
| 0.6917        | 0.1263 | 20   | 1.4184          | 1019280           |
| 0.4293        | 0.1579 | 25   | 1.5732          | 1271416           |
| 0.2959        | 0.1895 | 30   | 1.6498          | 1515792           |
| 0.2466        | 0.2211 | 35   | 1.8461          | 1771464           |
| 0.1581        | 0.2527 | 40   | 1.9813          | 2020528           |
| 0.0765        | 0.2842 | 45   | 2.1203          | 2277040           |
| 0.0524        | 0.3158 | 50   | 2.2317          | 2527976           |
| 0.0539        | 0.3474 | 55   | 2.3208          | 2784520           |
| 0.0348        | 0.3790 | 60   | 2.3321          | 3041696           |
| 0.0366        | 0.4106 | 65   | 2.3404          | 3300560           |
| 0.037         | 0.4422 | 70   | 2.3494          | 3547576           |
| 0.0324        | 0.4737 | 75   | 2.3125          | 3810280           |
| 0.0307        | 0.5053 | 80   | 2.2571          | 4069032           |
| 0.0281        | 0.5369 | 85   | 2.2877          | 4323872           |
| 0.0289        | 0.5685 | 90   | 2.3183          | 4583064           |
| 0.0304        | 0.6001 | 95   | 2.3403          | 4844432           |
| 0.0272        | 0.6317 | 100  | 2.3549          | 5101512           |
| 0.0276        | 0.6632 | 105  | 2.3650          | 5358960           |
| 0.0306        | 0.6948 | 110  | 2.3604          | 5616864           |
| 0.0282        | 0.7264 | 115  | 2.3438          | 5877496           |
| 0.0288        | 0.7580 | 120  | 2.3419          | 6129360           |
| 0.0281        | 0.7896 | 125  | 2.3471          | 6382240           |
| 0.0305        | 0.8212 | 130  | 2.3799          | 6635400           |
| 0.0295        | 0.8527 | 135  | 2.3850          | 6889824           |
| 0.0294        | 0.8843 | 140  | 2.3463          | 7146448           |
| 0.0258        | 0.9159 | 145  | 2.3439          | 7407840           |
| 0.0272        | 0.9475 | 150  | 2.3552          | 7662520           |
| 0.0263        | 0.9791 | 155  | 2.3712          | 7923432           |


### Framework versions

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