---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter14_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_iter14_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: 2.5773
- Num Input Tokens Seen: 4574776

## 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                 |
| 1.5075        | 0.0511 | 5    | 1.2776          | 235544            |
| 0.836         | 0.1022 | 10   | 1.2777          | 467032            |
| 0.4955        | 0.1533 | 15   | 1.4886          | 700024            |
| 0.3103        | 0.2043 | 20   | 1.6793          | 936792            |
| 0.1031        | 0.2554 | 25   | 1.9368          | 1172032           |
| 0.0885        | 0.3065 | 30   | 2.1415          | 1401888           |
| 0.0543        | 0.3576 | 35   | 2.2858          | 1638624           |
| 0.0376        | 0.4087 | 40   | 2.3690          | 1882040           |
| 0.0231        | 0.4598 | 45   | 2.4836          | 2115960           |
| 0.0275        | 0.5109 | 50   | 2.5069          | 2358760           |
| 0.0255        | 0.5619 | 55   | 2.5359          | 2591288           |
| 0.0237        | 0.6130 | 60   | 2.5399          | 2832448           |
| 0.024         | 0.6641 | 65   | 2.5485          | 3068016           |
| 0.024         | 0.7152 | 70   | 2.5532          | 3301008           |
| 0.0249        | 0.7663 | 75   | 2.5420          | 3541120           |
| 0.0225        | 0.8174 | 80   | 2.5494          | 3772632           |
| 0.0232        | 0.8685 | 85   | 2.5649          | 4012576           |
| 0.0234        | 0.9195 | 90   | 2.5743          | 4257128           |
| 0.0228        | 0.9706 | 95   | 2.5775          | 4478968           |


### Framework versions

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