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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_sftsd1
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_sftsd1
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: 2.6202
- Num Input Tokens Seen: 4782384
## 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: 1
- 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 |
| 1.4251 | 0.0511 | 5 | 1.2773 | 251936 |
| 1.0412 | 0.1021 | 10 | 1.2473 | 494776 |
| 0.6073 | 0.1532 | 15 | 1.4155 | 739080 |
| 0.4079 | 0.2042 | 20 | 1.6045 | 992504 |
| 0.2094 | 0.2553 | 25 | 1.8387 | 1237192 |
| 0.1016 | 0.3063 | 30 | 2.1297 | 1481728 |
| 0.0516 | 0.3574 | 35 | 2.2672 | 1730840 |
| 0.0373 | 0.4084 | 40 | 2.3948 | 1976944 |
| 0.0293 | 0.4595 | 45 | 2.4808 | 2220288 |
| 0.0264 | 0.5105 | 50 | 2.5189 | 2467184 |
| 0.0285 | 0.5616 | 55 | 2.5581 | 2721304 |
| 0.0236 | 0.6126 | 60 | 2.5681 | 2961768 |
| 0.0228 | 0.6637 | 65 | 2.5784 | 3208208 |
| 0.0235 | 0.7147 | 70 | 2.5833 | 3462120 |
| 0.0239 | 0.7658 | 75 | 2.5890 | 3702984 |
| 0.023 | 0.8168 | 80 | 2.6044 | 3955448 |
| 0.0233 | 0.8679 | 85 | 2.6159 | 4205584 |
| 0.0226 | 0.9190 | 90 | 2.6276 | 4445256 |
| 0.0246 | 0.9700 | 95 | 2.6255 | 4684392 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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