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---
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514HMA17H
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. -->
# G0514HMA17H
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co./google/gemma-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: -17.8863
## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 60
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7397 | 0.09 | 10 | -0.3975 |
| -1.7057 | 0.18 | 20 | -3.6259 |
| -5.262 | 0.27 | 30 | -7.4840 |
| -9.0284 | 0.36 | 40 | -11.0077 |
| -12.2555 | 0.45 | 50 | -13.9478 |
| -14.8695 | 0.54 | 60 | -15.9731 |
| -16.4824 | 0.63 | 70 | -16.9638 |
| -17.1562 | 0.73 | 80 | -17.3577 |
| -17.4316 | 0.82 | 90 | -17.5211 |
| -17.562 | 0.91 | 100 | -17.6057 |
| -17.6246 | 1.0 | 110 | -17.6531 |
| -17.6704 | 1.09 | 120 | -17.6811 |
| -17.691 | 1.18 | 130 | -17.7006 |
| -17.7076 | 1.27 | 140 | -17.7180 |
| -17.7234 | 1.36 | 150 | -17.7314 |
| -17.738 | 1.45 | 160 | -17.7406 |
| -17.7492 | 1.54 | 170 | -17.7580 |
| -17.7665 | 1.63 | 180 | -17.7743 |
| -17.7825 | 1.72 | 190 | -17.7921 |
| -17.8068 | 1.81 | 200 | -17.8132 |
| -17.8209 | 1.9 | 210 | -17.8311 |
| -17.8385 | 1.99 | 220 | -17.8439 |
| -17.8464 | 2.08 | 230 | -17.8522 |
| -17.8595 | 2.18 | 240 | -17.8657 |
| -17.8688 | 2.27 | 250 | -17.8729 |
| -17.8733 | 2.36 | 260 | -17.8783 |
| -17.8725 | 2.45 | 270 | -17.8809 |
| -17.8806 | 2.54 | 280 | -17.8834 |
| -17.8837 | 2.63 | 290 | -17.8849 |
| -17.884 | 2.72 | 300 | -17.8855 |
| -17.8807 | 2.81 | 310 | -17.8860 |
| -17.8864 | 2.9 | 320 | -17.8863 |
| -17.8839 | 2.99 | 330 | -17.8863 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.0
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