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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_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_iter9_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: 2.5326
- Num Input Tokens Seen: 4710648
## 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 | 1.3909 | 0 |
| 1.4937 | 0.0511 | 5 | 1.2783 | 234544 |
| 0.9069 | 0.1022 | 10 | 1.3004 | 476384 |
| 0.4737 | 0.1533 | 15 | 1.5336 | 710232 |
| 0.247 | 0.2043 | 20 | 1.7745 | 954032 |
| 0.1058 | 0.2554 | 25 | 1.9661 | 1202912 |
| 0.0603 | 0.3065 | 30 | 2.2302 | 1448016 |
| 0.0357 | 0.3576 | 35 | 2.4185 | 1689736 |
| 0.0277 | 0.4087 | 40 | 2.5194 | 1931560 |
| 0.0235 | 0.4598 | 45 | 2.5744 | 2178184 |
| 0.0226 | 0.5109 | 50 | 2.6315 | 2420064 |
| 0.0261 | 0.5619 | 55 | 2.6343 | 2661248 |
| 0.0216 | 0.6130 | 60 | 2.6350 | 2903808 |
| 0.0229 | 0.6641 | 65 | 2.5899 | 3141584 |
| 0.0207 | 0.7152 | 70 | 2.5668 | 3382872 |
| 0.0217 | 0.7663 | 75 | 2.5357 | 3625368 |
| 0.0205 | 0.8174 | 80 | 2.5397 | 3874352 |
| 0.0209 | 0.8685 | 85 | 2.5497 | 4121944 |
| 0.0211 | 0.9195 | 90 | 2.5299 | 4365216 |
| 0.0206 | 0.9706 | 95 | 2.5237 | 4613264 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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