---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter6_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_iter6_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: 2.3592
- Num Input Tokens Seen: 5050360

## 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    | 1.3909          | 0                 |
| 1.4425        | 0.0511 | 5    | 1.2792          | 268048            |
| 1.0011        | 0.1022 | 10   | 1.2830          | 528720            |
| 0.5665        | 0.1533 | 15   | 1.5189          | 789760            |
| 0.3288        | 0.2043 | 20   | 1.6677          | 1055920           |
| 0.1659        | 0.2554 | 25   | 1.8473          | 1316120           |
| 0.0756        | 0.3065 | 30   | 1.9989          | 1571768           |
| 0.0561        | 0.3576 | 35   | 2.2048          | 1827248           |
| 0.0501        | 0.4087 | 40   | 2.2714          | 2080432           |
| 0.0308        | 0.4598 | 45   | 2.3411          | 2341488           |
| 0.0309        | 0.5109 | 50   | 2.3422          | 2597752           |
| 0.0273        | 0.5619 | 55   | 2.3220          | 2858344           |
| 0.028         | 0.6130 | 60   | 2.3425          | 3126248           |
| 0.0239        | 0.6641 | 65   | 2.3425          | 3385352           |
| 0.0303        | 0.7152 | 70   | 2.3531          | 3653912           |
| 0.0244        | 0.7663 | 75   | 2.3690          | 3915120           |
| 0.0242        | 0.8174 | 80   | 2.3697          | 4168000           |
| 0.026         | 0.8685 | 85   | 2.3791          | 4422656           |
| 0.0253        | 0.9195 | 90   | 2.3785          | 4684312           |
| 0.0239        | 0.9706 | 95   | 2.3603          | 4949120           |


### Framework versions

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