---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter8_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_replace_iter8_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: 2.5550
- Num Input Tokens Seen: 8095056

## 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    | 1.3956          | 0                 |
| 1.7525        | 0.0316 | 5    | 1.3104          | 254840            |
| 1.2052        | 0.0632 | 10   | 1.2361          | 505744            |
| 0.829         | 0.0948 | 15   | 1.3012          | 764784            |
| 0.5192        | 0.1264 | 20   | 1.5065          | 1017080           |
| 0.3515        | 0.1580 | 25   | 1.6064          | 1273384           |
| 0.2183        | 0.1896 | 30   | 1.7810          | 1528696           |
| 0.15          | 0.2212 | 35   | 1.9429          | 1786696           |
| 0.1138        | 0.2528 | 40   | 2.1156          | 2047952           |
| 0.059         | 0.2844 | 45   | 2.2852          | 2304208           |
| 0.0473        | 0.3160 | 50   | 2.3658          | 2562872           |
| 0.0341        | 0.3476 | 55   | 2.4285          | 2820024           |
| 0.033         | 0.3791 | 60   | 2.5434          | 3081376           |
| 0.0283        | 0.4107 | 65   | 2.5781          | 3330816           |
| 0.0293        | 0.4423 | 70   | 2.5558          | 3576176           |
| 0.0301        | 0.4739 | 75   | 2.5472          | 3824776           |
| 0.0286        | 0.5055 | 80   | 2.5378          | 4086992           |
| 0.0761        | 0.5371 | 85   | 2.5431          | 4343816           |
| 0.0281        | 0.5687 | 90   | 2.5042          | 4593704           |
| 0.0267        | 0.6003 | 95   | 2.4403          | 4863272           |
| 0.0277        | 0.6319 | 100  | 2.3900          | 5119864           |
| 0.028         | 0.6635 | 105  | 2.3840          | 5376216           |
| 0.0259        | 0.6951 | 110  | 2.4084          | 5631856           |
| 0.0245        | 0.7267 | 115  | 2.4373          | 5885432           |
| 0.0261        | 0.7583 | 120  | 2.4586          | 6140608           |
| 0.0265        | 0.7899 | 125  | 2.4941          | 6400528           |
| 0.0264        | 0.8215 | 130  | 2.5242          | 6657312           |
| 0.0256        | 0.8531 | 135  | 2.5193          | 6909008           |
| 0.0268        | 0.8847 | 140  | 2.5183          | 7169664           |
| 0.0259        | 0.9163 | 145  | 2.5392          | 7429120           |
| 0.0269        | 0.9479 | 150  | 2.5512          | 7684536           |
| 0.0232        | 0.9795 | 155  | 2.5518          | 7946120           |


### Framework versions

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