---
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_replace_iter1_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-2-9b_hs2_replace_iter1_sftsd2

This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9313
- Num Input Tokens Seen: 5236236

## 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: 4
- eval_batch_size: 16
- seed: 2
- gradient_accumulation_steps: 32
- 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    | 1.2335          | 0                 |
| 1.0584        | 0.0511 | 5    | 1.0644          | 270332            |
| 1.0014        | 0.1021 | 10   | 0.9817          | 541500            |
| 0.9947        | 0.1532 | 15   | 0.9708          | 812584            |
| 0.9594        | 0.2043 | 20   | 0.9624          | 1083956           |
| 0.9482        | 0.2553 | 25   | 0.9565          | 1356232           |
| 0.9359        | 0.3064 | 30   | 0.9534          | 1618536           |
| 0.9857        | 0.3575 | 35   | 0.9502          | 1882576           |
| 0.9566        | 0.4086 | 40   | 0.9469          | 2154872           |
| 0.9121        | 0.4596 | 45   | 0.9447          | 2423272           |
| 0.917         | 0.5107 | 50   | 0.9428          | 2695312           |
| 0.9864        | 0.5618 | 55   | 0.9412          | 2965956           |
| 0.9304        | 0.6128 | 60   | 0.9401          | 3236124           |
| 0.8757        | 0.6639 | 65   | 0.9384          | 3504696           |
| 0.9522        | 0.7150 | 70   | 0.9370          | 3779560           |
| 0.9782        | 0.7660 | 75   | 0.9360          | 4047404           |
| 0.9433        | 0.8171 | 80   | 0.9352          | 4319468           |
| 0.9083        | 0.8682 | 85   | 0.9336          | 4590728           |
| 0.9983        | 0.9192 | 90   | 0.9326          | 4860344           |
| 0.9986        | 0.9703 | 95   | 0.9319          | 5128848           |


### Framework versions

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