---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter10_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-2-2b_hs2_replace_iter10_sftsd2

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: 2.6482
- Num Input Tokens Seen: 7747456

## 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: 2
- 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    | 1.3956          | 0                 |
| 1.6727        | 0.0315 | 5    | 1.3102          | 246184            |
| 1.009         | 0.0630 | 10   | 1.2543          | 489448            |
| 0.667         | 0.0945 | 15   | 1.3838          | 726824            |
| 0.4294        | 0.1259 | 20   | 1.5708          | 970024            |
| 0.2248        | 0.1574 | 25   | 1.6675          | 1212248           |
| 0.1908        | 0.1889 | 30   | 1.8604          | 1467208           |
| 0.1451        | 0.2204 | 35   | 2.0014          | 1710152           |
| 0.0621        | 0.2519 | 40   | 2.1971          | 1954192           |
| 0.0381        | 0.2834 | 45   | 2.3063          | 2191576           |
| 0.0367        | 0.3148 | 50   | 2.3949          | 2433592           |
| 0.036         | 0.3463 | 55   | 2.4774          | 2679696           |
| 0.0294        | 0.3778 | 60   | 2.5588          | 2928552           |
| 0.0283        | 0.4093 | 65   | 2.5792          | 3173464           |
| 0.0285        | 0.4408 | 70   | 2.6130          | 3413776           |
| 0.0246        | 0.4723 | 75   | 2.6031          | 3659144           |
| 0.0239        | 0.5037 | 80   | 2.6188          | 3912088           |
| 0.023         | 0.5352 | 85   | 2.6231          | 4148400           |
| 0.0251        | 0.5667 | 90   | 2.5840          | 4398984           |
| 0.0236        | 0.5982 | 95   | 2.5662          | 4651040           |
| 0.0264        | 0.6297 | 100  | 2.5629          | 4894920           |
| 0.0243        | 0.6612 | 105  | 2.5727          | 5137152           |
| 0.0256        | 0.6926 | 110  | 2.5955          | 5378304           |
| 0.0235        | 0.7241 | 115  | 2.6078          | 5624672           |
| 0.0242        | 0.7556 | 120  | 2.6111          | 5877704           |
| 0.024         | 0.7871 | 125  | 2.6151          | 6124640           |
| 0.0265        | 0.8186 | 130  | 2.6286          | 6367576           |
| 0.0224        | 0.8501 | 135  | 2.6392          | 6614328           |
| 0.0242        | 0.8815 | 140  | 2.6356          | 6856504           |
| 0.023         | 0.9130 | 145  | 2.6439          | 7105832           |
| 0.0238        | 0.9445 | 150  | 2.6567          | 7354200           |
| 0.0244        | 0.9760 | 155  | 2.6456          | 7601504           |


### Framework versions

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