---
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_replace_iter4_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_iter4_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: 1.4790
- Num Input Tokens Seen: 4639036

## 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                 |
| 1.2061        | 0.0511 | 5    | 1.0694          | 240324            |
| 0.5247        | 0.1022 | 10   | 1.1930          | 482000            |
| 0.2089        | 0.1533 | 15   | 1.3107          | 712380            |
| 0.0939        | 0.2044 | 20   | 1.4465          | 957020            |
| 0.0504        | 0.2555 | 25   | 1.5378          | 1188912           |
| 0.0456        | 0.3066 | 30   | 1.4778          | 1428132           |
| 0.0331        | 0.3577 | 35   | 1.4145          | 1677336           |
| 0.0238        | 0.4088 | 40   | 1.4888          | 1914204           |
| 0.0255        | 0.4599 | 45   | 1.5425          | 2146180           |
| 0.0243        | 0.5110 | 50   | 1.5185          | 2379516           |
| 0.0381        | 0.5621 | 55   | 1.4742          | 2619096           |
| 0.0305        | 0.6132 | 60   | 1.4191          | 2862804           |
| 0.0227        | 0.6643 | 65   | 1.4256          | 3103004           |
| 0.021         | 0.7154 | 70   | 1.4350          | 3346964           |
| 0.0279        | 0.7665 | 75   | 1.4590          | 3587168           |
| 0.0242        | 0.8176 | 80   | 1.5009          | 3830384           |
| 0.0262        | 0.8687 | 85   | 1.4784          | 4068408           |
| 0.0244        | 0.9198 | 90   | 1.4782          | 4308452           |
| 0.0228        | 0.9709 | 95   | 1.4777          | 4542732           |


### Framework versions

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