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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_accumulatesubsample_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_accumulatesubsample_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: 1.1956
- Num Input Tokens Seen: 5023456
## 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 | 1.3909 | 0 |
| 1.3304 | 0.0541 | 5 | 1.2738 | 270256 |
| 1.1448 | 0.1082 | 10 | 1.2117 | 540696 |
| 1.0747 | 0.1623 | 15 | 1.2004 | 821656 |
| 1.0687 | 0.2164 | 20 | 1.2026 | 1098712 |
| 0.7675 | 0.2705 | 25 | 1.2266 | 1366240 |
| 0.7907 | 0.3245 | 30 | 1.2142 | 1643704 |
| 0.6795 | 0.3786 | 35 | 1.2293 | 1908672 |
| 0.6652 | 0.4327 | 40 | 1.2036 | 2181616 |
| 0.7058 | 0.4868 | 45 | 1.2256 | 2456960 |
| 0.6919 | 0.5409 | 50 | 1.2012 | 2735528 |
| 0.6422 | 0.5950 | 55 | 1.2120 | 3015304 |
| 0.6387 | 0.6491 | 60 | 1.2085 | 3286712 |
| 0.4768 | 0.7032 | 65 | 1.2063 | 3557760 |
| 0.5572 | 0.7573 | 70 | 1.1910 | 3824824 |
| 0.5535 | 0.8114 | 75 | 1.2021 | 4097760 |
| 0.4666 | 0.8654 | 80 | 1.1937 | 4378176 |
| 0.4766 | 0.9195 | 85 | 1.1977 | 4649040 |
| 0.5041 | 0.9736 | 90 | 1.1999 | 4914024 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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