---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter8_sftsd2
  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_sftsd2

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: 2.5160
- Num Input Tokens Seen: 4690368

## 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: 2
- 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                 |
| 1.6266        | 0.0511 | 5    | 1.2779          | 235280            |
| 0.9347        | 0.1021 | 10   | 1.2886          | 475376            |
| 0.4911        | 0.1532 | 15   | 1.4993          | 716736            |
| 0.186         | 0.2042 | 20   | 1.7498          | 957152            |
| 0.1313        | 0.2553 | 25   | 1.9671          | 1198616           |
| 0.0834        | 0.3063 | 30   | 2.1763          | 1438792           |
| 0.0339        | 0.3574 | 35   | 2.2526          | 1680696           |
| 0.0429        | 0.4084 | 40   | 2.3952          | 1923576           |
| 0.0276        | 0.4595 | 45   | 2.4498          | 2170944           |
| 0.0286        | 0.5105 | 50   | 2.4620          | 2412248           |
| 0.0248        | 0.5616 | 55   | 2.4851          | 2656800           |
| 0.0245        | 0.6126 | 60   | 2.4803          | 2896688           |
| 0.0223        | 0.6637 | 65   | 2.4790          | 3133576           |
| 0.0237        | 0.7147 | 70   | 2.4814          | 3379344           |
| 0.0232        | 0.7658 | 75   | 2.4871          | 3623816           |
| 0.0267        | 0.8168 | 80   | 2.4882          | 3864024           |
| 0.0206        | 0.8679 | 85   | 2.4975          | 4105224           |
| 0.0218        | 0.9190 | 90   | 2.5140          | 4349992           |
| 0.023         | 0.9700 | 95   | 2.5206          | 4592336           |


### Framework versions

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