---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulate_iter2_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-2-2b_hs2_accumulate_iter2_sftsd0

This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0884
- Num Input Tokens Seen: 10631280

## 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: 8
- eval_batch_size: 16
- seed: 0
- gradient_accumulation_steps: 16
- 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    | 1.3909          | 0                 |
| 1.4986        | 0.0274 | 5    | 1.3330          | 291568            |
| 1.3182        | 0.0548 | 10   | 1.2111          | 587448            |
| 1.2698        | 0.0822 | 15   | 1.1561          | 878712            |
| 1.1636        | 0.1096 | 20   | 1.1285          | 1172912           |
| 1.1254        | 0.1370 | 25   | 1.1113          | 1462432           |
| 1.1388        | 0.1644 | 30   | 1.1125          | 1754352           |
| 1.0632        | 0.1918 | 35   | 1.1148          | 2044296           |
| 1.0854        | 0.2193 | 40   | 1.1123          | 2336344           |
| 1.0012        | 0.2467 | 45   | 1.1118          | 2629112           |
| 0.9763        | 0.2741 | 50   | 1.1233          | 2922992           |
| 0.8928        | 0.3015 | 55   | 1.1148          | 3212144           |
| 0.9294        | 0.3289 | 60   | 1.1208          | 3498808           |
| 0.9218        | 0.3563 | 65   | 1.1160          | 3790240           |
| 0.8805        | 0.3837 | 70   | 1.1220          | 4084176           |
| 0.8095        | 0.4111 | 75   | 1.1249          | 4369920           |
| 0.8382        | 0.4385 | 80   | 1.1195          | 4666480           |
| 0.8528        | 0.4659 | 85   | 1.1163          | 4959872           |
| 0.8016        | 0.4933 | 90   | 1.1147          | 5254800           |
| 0.8473        | 0.5207 | 95   | 1.1142          | 5546992           |
| 0.7947        | 0.5481 | 100  | 1.1122          | 5834416           |
| 0.7363        | 0.5755 | 105  | 1.1072          | 6127320           |
| 0.6941        | 0.6029 | 110  | 1.1062          | 6426288           |
| 0.7032        | 0.6304 | 115  | 1.1080          | 6714832           |
| 0.73          | 0.6578 | 120  | 1.1044          | 7008720           |
| 0.6667        | 0.6852 | 125  | 1.1017          | 7302184           |
| 0.6676        | 0.7126 | 130  | 1.1011          | 7596152           |
| 0.7638        | 0.7400 | 135  | 1.0994          | 7884552           |
| 0.7206        | 0.7674 | 140  | 1.0979          | 8179512           |
| 0.7141        | 0.7948 | 145  | 1.0960          | 8470208           |
| 0.7504        | 0.8222 | 150  | 1.0947          | 8761968           |
| 0.6988        | 0.8496 | 155  | 1.0930          | 9055184           |
| 0.7438        | 0.8770 | 160  | 1.0927          | 9343128           |
| 0.667         | 0.9044 | 165  | 1.0902          | 9637976           |
| 0.7389        | 0.9318 | 170  | 1.0913          | 9930512           |
| 0.7248        | 0.9592 | 175  | 1.0880          | 10226368          |
| 0.7772        | 0.9866 | 180  | 1.0892          | 10513336          |


### Framework versions

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