---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter10_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_replace_iter10_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: 2.6489
- Num Input Tokens Seen: 7847456

## 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    | 1.3956          | 0                 |
| 1.6165        | 0.0315 | 5    | 1.3101          | 243056            |
| 1.172         | 0.0630 | 10   | 1.2582          | 490584            |
| 0.7463        | 0.0945 | 15   | 1.3463          | 739912            |
| 0.464         | 0.1259 | 20   | 1.5692          | 990256            |
| 0.3508        | 0.1574 | 25   | 1.6804          | 1240472           |
| 0.1841        | 0.1889 | 30   | 1.8268          | 1486504           |
| 0.097         | 0.2204 | 35   | 2.0664          | 1738888           |
| 0.0635        | 0.2519 | 40   | 2.2289          | 1980448           |
| 0.0452        | 0.2834 | 45   | 2.3601          | 2228472           |
| 0.0422        | 0.3148 | 50   | 2.4612          | 2476704           |
| 0.0364        | 0.3463 | 55   | 2.5085          | 2731320           |
| 0.0341        | 0.3778 | 60   | 2.5222          | 2979128           |
| 0.0304        | 0.4093 | 65   | 2.5257          | 3220656           |
| 0.0281        | 0.4408 | 70   | 2.5652          | 3471576           |
| 0.0247        | 0.4723 | 75   | 2.5819          | 3708808           |
| 0.025         | 0.5037 | 80   | 2.5916          | 3965208           |
| 0.0244        | 0.5352 | 85   | 2.6135          | 4212016           |
| 0.026         | 0.5667 | 90   | 2.6298          | 4456472           |
| 0.0236        | 0.5982 | 95   | 2.6157          | 4708392           |
| 0.0232        | 0.6297 | 100  | 2.6080          | 4960984           |
| 0.0234        | 0.6612 | 105  | 2.6128          | 5209920           |
| 0.0294        | 0.6926 | 110  | 2.6223          | 5450632           |
| 0.0257        | 0.7241 | 115  | 2.6158          | 5696272           |
| 0.0264        | 0.7556 | 120  | 2.6134          | 5945648           |
| 0.0245        | 0.7871 | 125  | 2.6294          | 6201960           |
| 0.0235        | 0.8186 | 130  | 2.6448          | 6449680           |
| 0.0225        | 0.8501 | 135  | 2.6495          | 6695680           |
| 0.0251        | 0.8815 | 140  | 2.6462          | 6946656           |
| 0.0252        | 0.9130 | 145  | 2.6537          | 7189752           |
| 0.0223        | 0.9445 | 150  | 2.6462          | 7443512           |
| 0.0217        | 0.9760 | 155  | 2.6488          | 7693456           |


### Framework versions

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