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---
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514HMA4H
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. -->
# G0514HMA4H
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: -17.7428
## 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: 80
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9766 | 0.09 | 10 | 0.1938 |
| -0.7095 | 0.18 | 20 | -2.1543 |
| -3.5129 | 0.27 | 30 | -5.3325 |
| -6.6654 | 0.36 | 40 | -8.4889 |
| -9.7041 | 0.45 | 50 | -11.4077 |
| -12.4428 | 0.54 | 60 | -13.8134 |
| -14.5638 | 0.63 | 70 | -15.4354 |
| -15.9411 | 0.73 | 80 | -16.4692 |
| -16.7235 | 0.82 | 90 | -17.0250 |
| -17.1404 | 0.91 | 100 | -17.2723 |
| -17.3354 | 1.0 | 110 | -17.4128 |
| -17.4522 | 1.09 | 120 | -17.4974 |
| -17.5272 | 1.18 | 130 | -17.5592 |
| -17.5718 | 1.27 | 140 | -17.6055 |
| -17.6154 | 1.36 | 150 | -17.6336 |
| -17.6416 | 1.45 | 160 | -17.6542 |
| -17.656 | 1.54 | 170 | -17.6683 |
| -17.6769 | 1.63 | 180 | -17.6832 |
| -17.6876 | 1.72 | 190 | -17.6950 |
| -17.6975 | 1.81 | 200 | -17.7028 |
| -17.7043 | 1.9 | 210 | -17.7114 |
| -17.7137 | 1.99 | 220 | -17.7188 |
| -17.7217 | 2.08 | 230 | -17.7245 |
| -17.7306 | 2.18 | 240 | -17.7293 |
| -17.7293 | 2.27 | 250 | -17.7330 |
| -17.7348 | 2.36 | 260 | -17.7365 |
| -17.741 | 2.45 | 270 | -17.7386 |
| -17.7415 | 2.54 | 280 | -17.7403 |
| -17.7442 | 2.63 | 290 | -17.7410 |
| -17.7456 | 2.72 | 300 | -17.7422 |
| -17.7426 | 2.81 | 310 | -17.7425 |
| -17.7471 | 2.9 | 320 | -17.7427 |
| -17.7473 | 2.99 | 330 | -17.7428 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.0
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