---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter5_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_iter5_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: 2.2688
- Num Input Tokens Seen: 5013656

## 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                 |
| 1.4559        | 0.0513 | 5    | 1.2725          | 257864            |
| 1.0605        | 0.1027 | 10   | 1.2385          | 516944            |
| 0.6871        | 0.1540 | 15   | 1.4054          | 773056            |
| 0.4263        | 0.2054 | 20   | 1.6020          | 1039416           |
| 0.2328        | 0.2567 | 25   | 1.7950          | 1289960           |
| 0.158         | 0.3081 | 30   | 1.9368          | 1547184           |
| 0.0827        | 0.3594 | 35   | 2.1794          | 1796888           |
| 0.0603        | 0.4108 | 40   | 2.1921          | 2057712           |
| 0.0448        | 0.4621 | 45   | 2.3177          | 2314536           |
| 0.0473        | 0.5135 | 50   | 2.3247          | 2574664           |
| 0.033         | 0.5648 | 55   | 2.3309          | 2830688           |
| 0.0254        | 0.6162 | 60   | 2.3438          | 3090024           |
| 0.0281        | 0.6675 | 65   | 2.3396          | 3351576           |
| 0.0257        | 0.7189 | 70   | 2.3013          | 3611544           |
| 0.0235        | 0.7702 | 75   | 2.2895          | 3870096           |
| 0.029         | 0.8216 | 80   | 2.3117          | 4131664           |
| 0.0278        | 0.8729 | 85   | 2.2845          | 4389008           |
| 0.0309        | 0.9243 | 90   | 2.2608          | 4654528           |
| 0.0246        | 0.9756 | 95   | 2.2600          | 4907632           |


### Framework versions

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