---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter8_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_iter8_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: 2.6211
- Num Input Tokens Seen: 7818184

## 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                 |
| 1.6108        | 0.0315 | 5    | 1.3097          | 239488            |
| 1.2048        | 0.0630 | 10   | 1.2514          | 488880            |
| 0.7736        | 0.0945 | 15   | 1.3428          | 739832            |
| 0.4942        | 0.1259 | 20   | 1.5487          | 988640            |
| 0.3684        | 0.1574 | 25   | 1.6597          | 1234208           |
| 0.2257        | 0.1889 | 30   | 1.8226          | 1477784           |
| 0.104         | 0.2204 | 35   | 2.0198          | 1730776           |
| 0.079         | 0.2519 | 40   | 2.1574          | 1971328           |
| 0.0504        | 0.2834 | 45   | 2.3647          | 2217856           |
| 0.0368        | 0.3148 | 50   | 2.4414          | 2465200           |
| 0.0362        | 0.3463 | 55   | 2.5177          | 2715224           |
| 0.0347        | 0.3778 | 60   | 2.5495          | 2963688           |
| 0.0318        | 0.4093 | 65   | 2.5692          | 3204352           |
| 0.0298        | 0.4408 | 70   | 2.5663          | 3455912           |
| 0.026         | 0.4723 | 75   | 2.5764          | 3694848           |
| 0.0277        | 0.5037 | 80   | 2.5583          | 3950488           |
| 0.0251        | 0.5352 | 85   | 2.5831          | 4197448           |
| 0.03          | 0.5667 | 90   | 2.6005          | 4438720           |
| 0.0247        | 0.5982 | 95   | 2.5882          | 4687496           |
| 0.024         | 0.6297 | 100  | 2.5853          | 4937840           |
| 0.0245        | 0.6612 | 105  | 2.6122          | 5185648           |
| 0.0259        | 0.6926 | 110  | 2.6367          | 5428648           |
| 0.0261        | 0.7241 | 115  | 2.6511          | 5673016           |
| 0.0276        | 0.7556 | 120  | 2.6375          | 5923456           |
| 0.0257        | 0.7871 | 125  | 2.6391          | 6177184           |
| 0.0255        | 0.8186 | 130  | 2.6434          | 6421672           |
| 0.025         | 0.8501 | 135  | 2.6282          | 6667984           |
| 0.0265        | 0.8815 | 140  | 2.6097          | 6917840           |
| 0.0258        | 0.9130 | 145  | 2.6087          | 7163648           |
| 0.0243        | 0.9445 | 150  | 2.6101          | 7416408           |
| 0.0237        | 0.9760 | 155  | 2.6211          | 7665640           |


### Framework versions

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