---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter9_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_iter9_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: 2.6695
- Num Input Tokens Seen: 7754872

## 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                 |
| 1.5959        | 0.0315 | 5    | 1.3066          | 254632            |
| 1.0717        | 0.0630 | 10   | 1.2465          | 502128            |
| 0.7125        | 0.0945 | 15   | 1.3592          | 744976            |
| 0.504         | 0.1260 | 20   | 1.5120          | 986472            |
| 0.2848        | 0.1575 | 25   | 1.6652          | 1237336           |
| 0.2452        | 0.1890 | 30   | 1.8288          | 1482344           |
| 0.1578        | 0.2205 | 35   | 1.9980          | 1732136           |
| 0.0569        | 0.2520 | 40   | 2.1960          | 1978848           |
| 0.0667        | 0.2835 | 45   | 2.3046          | 2223360           |
| 0.0341        | 0.3150 | 50   | 2.4331          | 2460800           |
| 0.0289        | 0.3465 | 55   | 2.4497          | 2702840           |
| 0.027         | 0.3780 | 60   | 2.5245          | 2953304           |
| 0.0265        | 0.4094 | 65   | 2.5800          | 3203880           |
| 0.0271        | 0.4409 | 70   | 2.5911          | 3452328           |
| 0.0265        | 0.4724 | 75   | 2.6014          | 3694936           |
| 0.0237        | 0.5039 | 80   | 2.6018          | 3940776           |
| 0.0253        | 0.5354 | 85   | 2.5984          | 4186160           |
| 0.0254        | 0.5669 | 90   | 2.6081          | 4427280           |
| 0.026         | 0.5984 | 95   | 2.6275          | 4674224           |
| 0.0249        | 0.6299 | 100  | 2.6499          | 4922464           |
| 0.0263        | 0.6614 | 105  | 2.6559          | 5169512           |
| 0.0295        | 0.6929 | 110  | 2.6640          | 5411768           |
| 0.0241        | 0.7244 | 115  | 2.6679          | 5655504           |
| 0.0259        | 0.7559 | 120  | 2.6763          | 5901264           |
| 0.0255        | 0.7874 | 125  | 2.6777          | 6144528           |
| 0.024         | 0.8189 | 130  | 2.6766          | 6387936           |
| 0.0228        | 0.8504 | 135  | 2.6707          | 6633736           |
| 0.0258        | 0.8819 | 140  | 2.6821          | 6868528           |
| 0.024         | 0.9134 | 145  | 2.6846          | 7115712           |
| 0.0257        | 0.9449 | 150  | 2.6769          | 7363728           |
| 0.0263        | 0.9764 | 155  | 2.6716          | 7603744           |


### Framework versions

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