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---
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_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-2-9b_hs2_replace_iter1_sftsd2
This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9313
- Num Input Tokens Seen: 5236236
## 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: 4
- eval_batch_size: 16
- seed: 2
- gradient_accumulation_steps: 32
- 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 | 1.2335 | 0 |
| 1.0584 | 0.0511 | 5 | 1.0644 | 270332 |
| 1.0014 | 0.1021 | 10 | 0.9817 | 541500 |
| 0.9947 | 0.1532 | 15 | 0.9708 | 812584 |
| 0.9594 | 0.2043 | 20 | 0.9624 | 1083956 |
| 0.9482 | 0.2553 | 25 | 0.9565 | 1356232 |
| 0.9359 | 0.3064 | 30 | 0.9534 | 1618536 |
| 0.9857 | 0.3575 | 35 | 0.9502 | 1882576 |
| 0.9566 | 0.4086 | 40 | 0.9469 | 2154872 |
| 0.9121 | 0.4596 | 45 | 0.9447 | 2423272 |
| 0.917 | 0.5107 | 50 | 0.9428 | 2695312 |
| 0.9864 | 0.5618 | 55 | 0.9412 | 2965956 |
| 0.9304 | 0.6128 | 60 | 0.9401 | 3236124 |
| 0.8757 | 0.6639 | 65 | 0.9384 | 3504696 |
| 0.9522 | 0.7150 | 70 | 0.9370 | 3779560 |
| 0.9782 | 0.7660 | 75 | 0.9360 | 4047404 |
| 0.9433 | 0.8171 | 80 | 0.9352 | 4319468 |
| 0.9083 | 0.8682 | 85 | 0.9336 | 4590728 |
| 0.9983 | 0.9192 | 90 | 0.9326 | 4860344 |
| 0.9986 | 0.9703 | 95 | 0.9319 | 5128848 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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