---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter5_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_iter5_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: 2.4530
- Num Input Tokens Seen: 7866424

## 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                 |
| 1.5841        | 0.0316 | 5    | 1.3064          | 246064            |
| 1.2139        | 0.0632 | 10   | 1.2259          | 490344            |
| 0.8575        | 0.0948 | 15   | 1.2862          | 743304            |
| 0.6223        | 0.1264 | 20   | 1.4173          | 991544            |
| 0.4134        | 0.1580 | 25   | 1.5797          | 1239400           |
| 0.2181        | 0.1896 | 30   | 1.7675          | 1492208           |
| 0.1602        | 0.2212 | 35   | 1.9274          | 1742536           |
| 0.1222        | 0.2528 | 40   | 1.9930          | 1993464           |
| 0.0567        | 0.2844 | 45   | 2.1636          | 2246064           |
| 0.0601        | 0.3160 | 50   | 2.2179          | 2495240           |
| 0.0426        | 0.3476 | 55   | 2.2534          | 2753624           |
| 0.0355        | 0.3791 | 60   | 2.3865          | 3000912           |
| 0.0353        | 0.4107 | 65   | 2.3864          | 3253912           |
| 0.029         | 0.4423 | 70   | 2.4098          | 3501280           |
| 0.028         | 0.4739 | 75   | 2.4119          | 3748336           |
| 0.0282        | 0.5055 | 80   | 2.4352          | 3992216           |
| 0.0297        | 0.5371 | 85   | 2.4314          | 4238048           |
| 0.0282        | 0.5687 | 90   | 2.4459          | 4485664           |
| 0.0294        | 0.6003 | 95   | 2.4529          | 4736648           |
| 0.0266        | 0.6319 | 100  | 2.4423          | 4994408           |
| 0.0264        | 0.6635 | 105  | 2.4515          | 5241848           |
| 0.0302        | 0.6951 | 110  | 2.4784          | 5488272           |
| 0.0283        | 0.7267 | 115  | 2.4612          | 5735720           |
| 0.0491        | 0.7583 | 120  | 2.4475          | 5982808           |
| 0.0284        | 0.7899 | 125  | 2.4495          | 6233656           |
| 0.0299        | 0.8215 | 130  | 2.4624          | 6483624           |
| 0.0279        | 0.8531 | 135  | 2.4608          | 6732040           |
| 0.0282        | 0.8847 | 140  | 2.4580          | 6974112           |
| 0.0258        | 0.9163 | 145  | 2.4557          | 7221264           |
| 0.0277        | 0.9479 | 150  | 2.4502          | 7469904           |
| 0.0273        | 0.9795 | 155  | 2.4400          | 7716824           |


### Framework versions

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