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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_iter1_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_iter1_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: 1.0640
- Num Input Tokens Seen: 5690264
## 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 |
| 1.2529 | 0.0511 | 5 | 1.2585 | 295904 |
| 1.1843 | 0.1021 | 10 | 1.1683 | 591104 |
| 1.1523 | 0.1532 | 15 | 1.1318 | 883280 |
| 1.0979 | 0.2042 | 20 | 1.1062 | 1177976 |
| 1.0923 | 0.2553 | 25 | 1.0967 | 1470072 |
| 1.07 | 0.3063 | 30 | 1.0915 | 1759320 |
| 1.1217 | 0.3574 | 35 | 1.0877 | 2048280 |
| 1.0978 | 0.4084 | 40 | 1.0839 | 2339776 |
| 1.0604 | 0.4595 | 45 | 1.0807 | 2632712 |
| 1.0608 | 0.5105 | 50 | 1.0779 | 2926200 |
| 1.1238 | 0.5616 | 55 | 1.0758 | 3220536 |
| 1.0663 | 0.6126 | 60 | 1.0741 | 3515696 |
| 1.0059 | 0.6637 | 65 | 1.0724 | 3804824 |
| 1.0991 | 0.7147 | 70 | 1.0706 | 4101032 |
| 1.1119 | 0.7658 | 75 | 1.0691 | 4391096 |
| 1.0905 | 0.8168 | 80 | 1.0680 | 4688752 |
| 1.0574 | 0.8679 | 85 | 1.0668 | 4981792 |
| 1.1394 | 0.9190 | 90 | 1.0653 | 5276840 |
| 1.1296 | 0.9700 | 95 | 1.0644 | 5572144 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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