---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter17_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_iter17_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: 2.5467
- Num Input Tokens Seen: 4476864

## 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    | 1.3909          | 0                 |
| 1.5537        | 0.0511 | 5    | 1.2778          | 222904            |
| 0.7952        | 0.1022 | 10   | 1.2852          | 448760            |
| 0.5611        | 0.1533 | 15   | 1.5050          | 675280            |
| 0.2536        | 0.2043 | 20   | 1.6999          | 905104            |
| 0.0968        | 0.2554 | 25   | 1.9531          | 1131936           |
| 0.1019        | 0.3065 | 30   | 2.1577          | 1361488           |
| 0.0495        | 0.3576 | 35   | 2.2738          | 1602552           |
| 0.0367        | 0.4087 | 40   | 2.3801          | 1837384           |
| 0.0268        | 0.4598 | 45   | 2.4756          | 2067480           |
| 0.0231        | 0.5109 | 50   | 2.5173          | 2301720           |
| 0.0267        | 0.5619 | 55   | 2.5333          | 2537344           |
| 0.0236        | 0.6130 | 60   | 2.5332          | 2774360           |
| 0.024         | 0.6641 | 65   | 2.5395          | 3004064           |
| 0.0218        | 0.7152 | 70   | 2.5456          | 3227784           |
| 0.0214        | 0.7663 | 75   | 2.5475          | 3463792           |
| 0.0219        | 0.8174 | 80   | 2.5494          | 3696792           |
| 0.0242        | 0.8685 | 85   | 2.5434          | 3925432           |
| 0.024         | 0.9195 | 90   | 2.5408          | 4158728           |
| 0.0228        | 0.9706 | 95   | 2.5444          | 4384712           |


### Framework versions

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