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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_iter9_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_iter9_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: 2.6415
- Num Input Tokens Seen: 7914176
## 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 |
| 1.6327 | 0.0315 | 5 | 1.3089 | 247632 |
| 1.1975 | 0.0630 | 10 | 1.2561 | 504648 |
| 0.7639 | 0.0945 | 15 | 1.3571 | 747296 |
| 0.513 | 0.1259 | 20 | 1.5568 | 1008344 |
| 0.3238 | 0.1574 | 25 | 1.6800 | 1260640 |
| 0.1575 | 0.1889 | 30 | 1.8364 | 1510496 |
| 0.1051 | 0.2204 | 35 | 2.0453 | 1761320 |
| 0.0558 | 0.2519 | 40 | 2.1727 | 2016736 |
| 0.0395 | 0.2834 | 45 | 2.3560 | 2261448 |
| 0.0314 | 0.3148 | 50 | 2.4808 | 2507808 |
| 0.0264 | 0.3463 | 55 | 2.5543 | 2762208 |
| 0.0291 | 0.3778 | 60 | 2.5322 | 3006848 |
| 0.0324 | 0.4093 | 65 | 2.5662 | 3253536 |
| 0.0291 | 0.4408 | 70 | 2.6164 | 3500992 |
| 0.0271 | 0.4723 | 75 | 2.6075 | 3746280 |
| 0.0269 | 0.5037 | 80 | 2.5847 | 3999584 |
| 0.0248 | 0.5352 | 85 | 2.5952 | 4246920 |
| 0.0244 | 0.5667 | 90 | 2.6096 | 4503608 |
| 0.0247 | 0.5982 | 95 | 2.6188 | 4754536 |
| 0.0233 | 0.6297 | 100 | 2.6244 | 5005328 |
| 0.0248 | 0.6612 | 105 | 2.6260 | 5255024 |
| 0.0237 | 0.6926 | 110 | 2.6294 | 5501344 |
| 0.0277 | 0.7241 | 115 | 2.6373 | 5757840 |
| 0.0256 | 0.7556 | 120 | 2.6263 | 6010232 |
| 0.0254 | 0.7871 | 125 | 2.6241 | 6256112 |
| 0.0232 | 0.8186 | 130 | 2.6195 | 6504184 |
| 0.0243 | 0.8501 | 135 | 2.6216 | 6755968 |
| 0.0243 | 0.8815 | 140 | 2.6244 | 7006776 |
| 0.0255 | 0.9130 | 145 | 2.6225 | 7262768 |
| 0.0251 | 0.9445 | 150 | 2.6236 | 7515400 |
| 0.0243 | 0.9760 | 155 | 2.6327 | 7765712 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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