---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter12_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_accumulatesubsample_iter12_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: 1.2041
- Num Input Tokens Seen: 4994976

## 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                 |
| 1.4166        | 0.0539 | 5    | 1.2769          | 264784            |
| 1.181         | 0.1077 | 10   | 1.2129          | 544496            |
| 0.9778        | 0.1616 | 15   | 1.2133          | 810896            |
| 0.9186        | 0.2155 | 20   | 1.2228          | 1084848           |
| 0.8617        | 0.2694 | 25   | 1.2353          | 1354664           |
| 0.7313        | 0.3232 | 30   | 1.2450          | 1624584           |
| 0.5778        | 0.3771 | 35   | 1.2580          | 1893920           |
| 0.6233        | 0.4310 | 40   | 1.2506          | 2170792           |
| 0.5564        | 0.4848 | 45   | 1.2258          | 2440400           |
| 0.6599        | 0.5387 | 50   | 1.2106          | 2719504           |
| 0.4742        | 0.5926 | 55   | 1.2293          | 2999912           |
| 0.474         | 0.6465 | 60   | 1.2061          | 3261600           |
| 0.6034        | 0.7003 | 65   | 1.2262          | 3537920           |
| 0.4712        | 0.7542 | 70   | 1.1980          | 3804184           |
| 0.544         | 0.8081 | 75   | 1.2184          | 4076984           |
| 0.4497        | 0.8620 | 80   | 1.1947          | 4344192           |
| 0.4503        | 0.9158 | 85   | 1.2074          | 4615280           |
| 0.4385        | 0.9697 | 90   | 1.2039          | 4885496           |


### Framework versions

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