---
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_accumulate_iter2_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_accumulate_iter2_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: 0.9422
- Num Input Tokens Seen: 9681676

## 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                 |
| 1.2828        | 0.0271 | 5    | 1.1073          | 265560            |
| 1.0134        | 0.0542 | 10   | 1.0202          | 534484            |
| 1.033         | 0.0814 | 15   | 0.9863          | 798368            |
| 0.8674        | 0.1085 | 20   | 0.9835          | 1059736           |
| 0.8101        | 0.1356 | 25   | 0.9846          | 1317664           |
| 0.7184        | 0.1627 | 30   | 0.9897          | 1578212           |
| 0.7122        | 0.1899 | 35   | 0.9834          | 1838956           |
| 0.7129        | 0.2170 | 40   | 0.9781          | 2102368           |
| 0.643         | 0.2441 | 45   | 0.9751          | 2365072           |
| 0.6169        | 0.2712 | 50   | 0.9738          | 2626376           |
| 0.7176        | 0.2984 | 55   | 0.9700          | 2886524           |
| 0.5972        | 0.3255 | 60   | 0.9665          | 3149448           |
| 0.573         | 0.3526 | 65   | 0.9639          | 3415664           |
| 0.6035        | 0.3797 | 70   | 0.9629          | 3676764           |
| 0.6096        | 0.4068 | 75   | 0.9598          | 3940104           |
| 0.5832        | 0.4340 | 80   | 0.9585          | 4204740           |
| 0.6262        | 0.4611 | 85   | 0.9572          | 4467556           |
| 0.6814        | 0.4882 | 90   | 0.9555          | 4731864           |
| 0.6672        | 0.5153 | 95   | 0.9533          | 4997040           |
| 0.5181        | 0.5425 | 100  | 0.9519          | 5263636           |
| 0.5759        | 0.5696 | 105  | 0.9515          | 5527476           |
| 0.597         | 0.5967 | 110  | 0.9507          | 5790324           |
| 0.5898        | 0.6238 | 115  | 0.9501          | 6054116           |
| 0.6857        | 0.6510 | 120  | 0.9496          | 6313184           |
| 0.5666        | 0.6781 | 125  | 0.9490          | 6573064           |
| 0.5007        | 0.7052 | 130  | 0.9491          | 6839704           |
| 0.5295        | 0.7323 | 135  | 0.9473          | 7101760           |
| 0.5782        | 0.7595 | 140  | 0.9458          | 7359916           |
| 0.5476        | 0.7866 | 145  | 0.9456          | 7629448           |
| 0.5752        | 0.8137 | 150  | 0.9457          | 7888404           |
| 0.48          | 0.8408 | 155  | 0.9444          | 8151276           |
| 0.6858        | 0.8679 | 160  | 0.9448          | 8410464           |
| 0.569         | 0.8951 | 165  | 0.9454          | 8677664           |
| 0.5906        | 0.9222 | 170  | 0.9441          | 8944556           |
| 0.5673        | 0.9493 | 175  | 0.9441          | 9201860           |
| 0.6069        | 0.9764 | 180  | 0.9446          | 9467072           |


### Framework versions

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