---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter7_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_iter7_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: 2.5982
- Num Input Tokens Seen: 8186704

## 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                 |
| 1.5901        | 0.0315 | 5    | 1.3093          | 247976            |
| 1.1237        | 0.0630 | 10   | 1.2401          | 505504            |
| 0.7826        | 0.0945 | 15   | 1.3165          | 763072            |
| 0.5963        | 0.1259 | 20   | 1.4831          | 1022728           |
| 0.382         | 0.1574 | 25   | 1.6187          | 1285000           |
| 0.1789        | 0.1889 | 30   | 1.7936          | 1548016           |
| 0.0997        | 0.2204 | 35   | 1.9666          | 1810296           |
| 0.0771        | 0.2519 | 40   | 2.1144          | 2073776           |
| 0.0761        | 0.2834 | 45   | 2.2913          | 2332728           |
| 0.0391        | 0.3148 | 50   | 2.3861          | 2581064           |
| 0.039         | 0.3463 | 55   | 2.4478          | 2846560           |
| 0.0371        | 0.3778 | 60   | 2.4824          | 3112600           |
| 0.0303        | 0.4093 | 65   | 2.5257          | 3369440           |
| 0.0292        | 0.4408 | 70   | 2.5481          | 3635616           |
| 0.0254        | 0.4723 | 75   | 2.5834          | 3900456           |
| 0.0275        | 0.5037 | 80   | 2.6008          | 4152824           |
| 0.0304        | 0.5352 | 85   | 2.6085          | 4412552           |
| 0.03          | 0.5667 | 90   | 2.5923          | 4674816           |
| 0.026         | 0.5982 | 95   | 2.5989          | 4933192           |
| 0.0247        | 0.6297 | 100  | 2.5903          | 5189528           |
| 0.0267        | 0.6612 | 105  | 2.5938          | 5452936           |
| 0.0252        | 0.6926 | 110  | 2.6102          | 5704000           |
| 0.03          | 0.7241 | 115  | 2.6064          | 5962520           |
| 0.0242        | 0.7556 | 120  | 2.5853          | 6217880           |
| 0.0231        | 0.7871 | 125  | 2.5819          | 6473072           |
| 0.0259        | 0.8186 | 130  | 2.5811          | 6731432           |
| 0.024         | 0.8501 | 135  | 2.5730          | 6995184           |
| 0.025         | 0.8815 | 140  | 2.5772          | 7252184           |
| 0.0261        | 0.9130 | 145  | 2.5934          | 7508144           |
| 0.0252        | 0.9445 | 150  | 2.5982          | 7769400           |
| 0.0309        | 0.9760 | 155  | 2.5964          | 8032040           |


### Framework versions

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