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---
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: 2.4135
- Num Input Tokens Seen: 7971776
## 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 | 1.3956 | 0 |
| 1.6219 | 0.0316 | 5 | 1.3079 | 253136 |
| 1.2932 | 0.0631 | 10 | 1.2378 | 505728 |
| 0.797 | 0.0947 | 15 | 1.2940 | 753248 |
| 0.6825 | 0.1263 | 20 | 1.4640 | 1008520 |
| 0.4083 | 0.1579 | 25 | 1.6136 | 1265712 |
| 0.2934 | 0.1894 | 30 | 1.7972 | 1522896 |
| 0.1426 | 0.2210 | 35 | 1.9343 | 1771056 |
| 0.0768 | 0.2526 | 40 | 2.0985 | 2021720 |
| 0.0598 | 0.2841 | 45 | 2.2231 | 2266568 |
| 0.0343 | 0.3157 | 50 | 2.2738 | 2525864 |
| 0.035 | 0.3473 | 55 | 2.3380 | 2773832 |
| 0.0341 | 0.3788 | 60 | 2.3578 | 3025992 |
| 0.0324 | 0.4104 | 65 | 2.3326 | 3282432 |
| 0.0339 | 0.4420 | 70 | 2.3815 | 3531744 |
| 0.0309 | 0.4736 | 75 | 2.4070 | 3780960 |
| 0.0319 | 0.5051 | 80 | 2.3871 | 4036832 |
| 0.03 | 0.5367 | 85 | 2.3862 | 4292040 |
| 0.0303 | 0.5683 | 90 | 2.3838 | 4532720 |
| 0.0295 | 0.5998 | 95 | 2.3943 | 4785512 |
| 0.0325 | 0.6314 | 100 | 2.3693 | 5041576 |
| 0.0321 | 0.6630 | 105 | 2.3452 | 5296640 |
| 0.0291 | 0.6946 | 110 | 2.3231 | 5545576 |
| 0.0271 | 0.7261 | 115 | 2.3197 | 5803840 |
| 0.025 | 0.7577 | 120 | 2.3552 | 6061792 |
| 0.0245 | 0.7893 | 125 | 2.3695 | 6314664 |
| 0.0595 | 0.8208 | 130 | 2.3968 | 6573472 |
| 0.0259 | 0.8524 | 135 | 2.4351 | 6821240 |
| 0.0262 | 0.8840 | 140 | 2.4190 | 7072472 |
| 0.0264 | 0.9155 | 145 | 2.4247 | 7323632 |
| 0.029 | 0.9471 | 150 | 2.4290 | 7572360 |
| 0.0282 | 0.9787 | 155 | 2.4186 | 7816368 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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