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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_iter4_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_iter4_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: 2.1659
- Num Input Tokens Seen: 7948024
## 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 |
| 1.5632 | 0.0316 | 5 | 1.3061 | 246640 |
| 1.3817 | 0.0632 | 10 | 1.2228 | 494576 |
| 1.0035 | 0.0947 | 15 | 1.2471 | 744584 |
| 0.6544 | 0.1263 | 20 | 1.4073 | 997672 |
| 0.4776 | 0.1579 | 25 | 1.5377 | 1254560 |
| 0.3655 | 0.1895 | 30 | 1.6643 | 1501936 |
| 0.2114 | 0.2211 | 35 | 1.8147 | 1753752 |
| 0.1432 | 0.2527 | 40 | 2.0060 | 2004664 |
| 0.0971 | 0.2842 | 45 | 2.1422 | 2255696 |
| 0.0583 | 0.3158 | 50 | 2.1872 | 2503680 |
| 0.0617 | 0.3474 | 55 | 2.2333 | 2752312 |
| 0.0418 | 0.3790 | 60 | 2.2179 | 3014008 |
| 0.0354 | 0.4106 | 65 | 2.2580 | 3272640 |
| 0.0341 | 0.4422 | 70 | 2.3017 | 3531768 |
| 0.0365 | 0.4737 | 75 | 2.3306 | 3783288 |
| 0.0388 | 0.5053 | 80 | 2.3409 | 4030184 |
| 0.0293 | 0.5369 | 85 | 2.3008 | 4283032 |
| 0.0542 | 0.5685 | 90 | 2.2747 | 4542640 |
| 0.0333 | 0.6001 | 95 | 2.2006 | 4797104 |
| 0.0314 | 0.6317 | 100 | 2.1578 | 5049888 |
| 0.0504 | 0.6632 | 105 | 2.1483 | 5293872 |
| 0.0344 | 0.6948 | 110 | 2.1589 | 5538240 |
| 0.0277 | 0.7264 | 115 | 2.1630 | 5793368 |
| 0.0281 | 0.7580 | 120 | 2.1890 | 6044800 |
| 0.0289 | 0.7896 | 125 | 2.2083 | 6302168 |
| 0.0336 | 0.8212 | 130 | 2.2451 | 6546744 |
| 0.0442 | 0.8527 | 135 | 2.2112 | 6795368 |
| 0.0292 | 0.8843 | 140 | 2.1838 | 7042064 |
| 0.036 | 0.9159 | 145 | 2.2140 | 7291040 |
| 0.0295 | 0.9475 | 150 | 2.2179 | 7545048 |
| 0.0291 | 0.9791 | 155 | 2.1915 | 7794264 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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