---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter18_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_accumulatesubsample_iter18_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: 1.2146
- Num Input Tokens Seen: 4982224

## 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    | 1.3909          | 0                 |
| 1.2659        | 0.0529 | 5    | 1.2807          | 264312            |
| 1.0915        | 0.1059 | 10   | 1.2298          | 531088            |
| 0.9617        | 0.1588 | 15   | 1.2146          | 797680            |
| 0.8165        | 0.2118 | 20   | 1.2558          | 1063768           |
| 0.6736        | 0.2647 | 25   | 1.2705          | 1333352           |
| 0.6868        | 0.3177 | 30   | 1.2647          | 1594824           |
| 0.5659        | 0.3706 | 35   | 1.2549          | 1858024           |
| 0.4964        | 0.4236 | 40   | 1.2572          | 2122648           |
| 0.4903        | 0.4765 | 45   | 1.2329          | 2390872           |
| 0.4303        | 0.5295 | 50   | 1.2455          | 2656160           |
| 0.5471        | 0.5824 | 55   | 1.2231          | 2921864           |
| 0.4603        | 0.6353 | 60   | 1.2356          | 3187064           |
| 0.4218        | 0.6883 | 65   | 1.2259          | 3449192           |
| 0.4204        | 0.7412 | 70   | 1.2386          | 3712440           |
| 0.4478        | 0.7942 | 75   | 1.2208          | 3978048           |
| 0.4628        | 0.8471 | 80   | 1.2195          | 4239360           |
| 0.3803        | 0.9001 | 85   | 1.2154          | 4498248           |
| 0.452         | 0.9530 | 90   | 1.2053          | 4767016           |


### Framework versions

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