---
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_replace_iter3_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_iter3_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: 1.3146
- Num Input Tokens Seen: 4629248

## 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                 |
| 1.1505        | 0.0514 | 5    | 1.0838          | 237896            |
| 0.5751        | 0.1028 | 10   | 1.1218          | 477308            |
| 0.257         | 0.1541 | 15   | 1.1457          | 712540            |
| 0.0988        | 0.2055 | 20   | 1.2485          | 950820            |
| 0.073         | 0.2569 | 25   | 1.3308          | 1186016           |
| 0.0413        | 0.3083 | 30   | 1.2650          | 1434072           |
| 0.0789        | 0.3597 | 35   | 1.2347          | 1670144           |
| 0.0581        | 0.4110 | 40   | 1.1793          | 1906636           |
| 0.0455        | 0.4624 | 45   | 1.1711          | 2150924           |
| 0.0256        | 0.5138 | 50   | 1.2403          | 2385516           |
| 0.0448        | 0.5652 | 55   | 1.2306          | 2630840           |
| 0.0498        | 0.6166 | 60   | 1.2123          | 2870696           |
| 0.0334        | 0.6680 | 65   | 1.2054          | 3105528           |
| 0.0319        | 0.7193 | 70   | 1.2169          | 3337616           |
| 0.0269        | 0.7707 | 75   | 1.2902          | 3571224           |
| 0.0304        | 0.8221 | 80   | 1.2938          | 3813928           |
| 0.0335        | 0.8735 | 85   | 1.2884          | 4054540           |
| 0.0272        | 0.9249 | 90   | 1.2766          | 4299016           |
| 0.0282        | 0.9762 | 95   | 1.3041          | 4533368           |


### Framework versions

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