---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_replace_iter5_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-2-27b_hs2_replace_iter5_sftsd2

This model is a fine-tuned version of [google/gemma-2-27b](https://huggingface.co/google/gemma-2-27b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3885
- Num Input Tokens Seen: 2751792

## 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    | 1.1282          | 0                 |
| 4.321         | 0.1060 | 5    | 1.1089          | 288828            |
| 4.0789        | 0.2119 | 10   | 1.2018          | 581504            |
| 3.8543        | 0.3179 | 15   | 1.2446          | 873364            |
| 3.6951        | 0.4238 | 20   | 1.3045          | 1165140           |
| 3.4936        | 0.5298 | 25   | 1.3632          | 1461128           |
| 3.4498        | 0.6358 | 30   | 1.3670          | 1750764           |
| 3.3639        | 0.7417 | 35   | 1.3663          | 2044840           |
| 3.2972        | 0.8477 | 40   | 1.3672          | 2339024           |
| 3.2375        | 0.9536 | 45   | 1.3869          | 2633860           |


### Framework versions

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