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---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_replace_iter1_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-2-27b_hs2_replace_iter1_sftsd0
This model is a fine-tuned version of [google/gemma-2-27b](https://huggingface.co/google/gemma-2-27b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9043
- Num Input Tokens Seen: 5253020
## 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: 0
- 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 | 1.1282 | 0 |
| 1.0178 | 0.0511 | 5 | 0.9807 | 272284 |
| 0.9631 | 0.1021 | 10 | 0.9519 | 541544 |
| 0.933 | 0.1532 | 15 | 0.9407 | 815788 |
| 0.911 | 0.2043 | 20 | 0.9333 | 1087364 |
| 0.9322 | 0.2553 | 25 | 0.9283 | 1353816 |
| 0.9306 | 0.3064 | 30 | 0.9250 | 1626852 |
| 0.93 | 0.3575 | 35 | 0.9222 | 1893740 |
| 0.9036 | 0.4086 | 40 | 0.9192 | 2168380 |
| 0.9166 | 0.4596 | 45 | 0.9175 | 2438380 |
| 0.9158 | 0.5107 | 50 | 0.9154 | 2708844 |
| 0.9438 | 0.5618 | 55 | 0.9137 | 2978352 |
| 0.9321 | 0.6128 | 60 | 0.9119 | 3244148 |
| 0.9048 | 0.6639 | 65 | 0.9103 | 3518100 |
| 1.0015 | 0.7150 | 70 | 0.9100 | 3784544 |
| 0.8605 | 0.7660 | 75 | 0.9086 | 4055360 |
| 0.9524 | 0.8171 | 80 | 0.9077 | 4326216 |
| 0.9025 | 0.8682 | 85 | 0.9069 | 4595508 |
| 0.8468 | 0.9192 | 90 | 0.9062 | 4869076 |
| 0.8756 | 0.9703 | 95 | 0.9047 | 5142272 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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