---
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_replace_iter4_sftsd0
  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_sftsd0

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: 1.3885
- Num Input Tokens Seen: 4582088

## 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: 0
- 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                 |
| 1.1067        | 0.0516 | 5    | 1.0880          | 236144            |
| 0.4944        | 0.1031 | 10   | 1.1582          | 483480            |
| 0.2097        | 0.1547 | 15   | 1.2328          | 722548            |
| 0.0734        | 0.2063 | 20   | 1.3841          | 964700            |
| 0.0577        | 0.2578 | 25   | 1.3194          | 1207344           |
| 0.0352        | 0.3094 | 30   | 1.3818          | 1457700           |
| 0.0331        | 0.3609 | 35   | 1.3162          | 1704260           |
| 0.0392        | 0.4125 | 40   | 1.2421          | 1937904           |
| 0.0392        | 0.4641 | 45   | 1.2304          | 2173932           |
| 0.0269        | 0.5156 | 50   | 1.2235          | 2408292           |
| 0.0437        | 0.5672 | 55   | 1.2684          | 2644340           |
| 0.0325        | 0.6188 | 60   | 1.3594          | 2874144           |
| 0.0312        | 0.6703 | 65   | 1.4196          | 3116744           |
| 0.0226        | 0.7219 | 70   | 1.4455          | 3346236           |
| 0.0253        | 0.7734 | 75   | 1.4274          | 3585652           |
| 0.0252        | 0.8250 | 80   | 1.3708          | 3823236           |
| 0.0272        | 0.8766 | 85   | 1.3578          | 4054744           |
| 0.0239        | 0.9281 | 90   | 1.3346          | 4294332           |
| 0.0258        | 0.9797 | 95   | 1.3749          | 4533868           |


### Framework versions

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