---
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: 2.5502
- Num Input Tokens Seen: 4945256

## 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                 |
| 1.4075        | 0.0511 | 5    | 1.2768          | 262544            |
| 0.9592        | 0.1021 | 10   | 1.2490          | 516672            |
| 0.6262        | 0.1532 | 15   | 1.3861          | 768768            |
| 0.4505        | 0.2042 | 20   | 1.5683          | 1029088           |
| 0.2604        | 0.2553 | 25   | 1.7472          | 1282984           |
| 0.1477        | 0.3063 | 30   | 1.9911          | 1535608           |
| 0.072         | 0.3574 | 35   | 2.1880          | 1790128           |
| 0.0485        | 0.4084 | 40   | 2.3094          | 2042896           |
| 0.0376        | 0.4595 | 45   | 2.4429          | 2298696           |
| 0.0293        | 0.5105 | 50   | 2.4744          | 2551432           |
| 0.0301        | 0.5616 | 55   | 2.4918          | 2814520           |
| 0.0241        | 0.6126 | 60   | 2.4981          | 3062952           |
| 0.0233        | 0.6637 | 65   | 2.5132          | 3321896           |
| 0.0241        | 0.7147 | 70   | 2.5177          | 3582960           |
| 0.022         | 0.7658 | 75   | 2.5261          | 3830336           |
| 0.0216        | 0.8168 | 80   | 2.5296          | 4090456           |
| 0.0233        | 0.8679 | 85   | 2.5449          | 4344200           |
| 0.0224        | 0.9190 | 90   | 2.5459          | 4595224           |
| 0.0242        | 0.9700 | 95   | 2.5496          | 4844232           |


### Framework versions

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