---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter14_sftsd1
  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_accumulatesubsample_iter14_sftsd1

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: 1.2052
- Num Input Tokens Seen: 4939392

## 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: 1
- 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                 |
| 1.395         | 0.0528 | 5    | 1.2762          | 263616            |
| 1.025         | 0.1057 | 10   | 1.2032          | 522192            |
| 0.9043        | 0.1585 | 15   | 1.2117          | 781320            |
| 0.7869        | 0.2114 | 20   | 1.2530          | 1049592           |
| 0.7435        | 0.2642 | 25   | 1.2754          | 1306912           |
| 0.613         | 0.3170 | 30   | 1.2796          | 1574208           |
| 0.5984        | 0.3699 | 35   | 1.2686          | 1838000           |
| 0.5522        | 0.4227 | 40   | 1.2501          | 2102768           |
| 0.3169        | 0.4756 | 45   | 1.2364          | 2356712           |
| 0.4495        | 0.5284 | 50   | 1.2186          | 2617488           |
| 0.3906        | 0.5812 | 55   | 1.2323          | 2878520           |
| 0.3294        | 0.6341 | 60   | 1.2076          | 3138624           |
| 0.4019        | 0.6869 | 65   | 1.2202          | 3399776           |
| 0.3896        | 0.7398 | 70   | 1.2076          | 3658416           |
| 0.3273        | 0.7926 | 75   | 1.2138          | 3928424           |
| 0.3961        | 0.8454 | 80   | 1.2004          | 4193672           |
| 0.3151        | 0.8983 | 85   | 1.2016          | 4458168           |
| 0.3865        | 0.9511 | 90   | 1.1975          | 4728256           |


### Framework versions

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