---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_replace_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-2-27b_hs2_replace_iter2_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: 1.2781
- Num Input Tokens Seen: 3603012

## 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                 |
| 2.7288        | 0.0560 | 5    | 1.0428          | 210528            |
| 2.2631        | 0.1121 | 10   | 1.0614          | 409500            |
| 1.7035        | 0.1681 | 15   | 1.0857          | 615964            |
| 1.0224        | 0.2242 | 20   | 1.1604          | 820452            |
| 0.7612        | 0.2802 | 25   | 1.1895          | 1018848           |
| 0.5972        | 0.3363 | 30   | 1.1930          | 1215560           |
| 0.6178        | 0.3923 | 35   | 1.1725          | 1409568           |
| 0.4143        | 0.4483 | 40   | 1.1575          | 1608480           |
| 0.5734        | 0.5044 | 45   | 1.1651          | 1812632           |
| 0.4687        | 0.5604 | 50   | 1.1621          | 2009960           |
| 0.6309        | 0.6165 | 55   | 1.1799          | 2223316           |
| 0.5393        | 0.6725 | 60   | 1.1957          | 2428084           |
| 0.271         | 0.7285 | 65   | 1.2141          | 2637248           |
| 0.4383        | 0.7846 | 70   | 1.2308          | 2837024           |
| 0.2703        | 0.8406 | 75   | 1.2080          | 3032684           |
| 0.3999        | 0.8967 | 80   | 1.2440          | 3240344           |
| 0.3003        | 0.9527 | 85   | 1.2357          | 3443968           |


### Framework versions

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