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---
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514HMA3H
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. -->
# G0514HMA3H
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: -17.8450
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.885 | 0.09 | 10 | -0.0170 |
| -1.0117 | 0.18 | 20 | -2.5324 |
| -3.9238 | 0.27 | 30 | -5.8063 |
| -7.2226 | 0.36 | 40 | -9.1305 |
| -10.3592 | 0.45 | 50 | -12.0206 |
| -13.0512 | 0.54 | 60 | -14.4433 |
| -15.2088 | 0.63 | 70 | -16.0571 |
| -16.4849 | 0.73 | 80 | -16.9607 |
| -17.1295 | 0.82 | 90 | -17.3344 |
| -17.4173 | 0.91 | 100 | -17.5098 |
| -17.5475 | 1.0 | 110 | -17.5970 |
| -17.6219 | 1.09 | 120 | -17.6470 |
| -17.6632 | 1.18 | 130 | -17.6764 |
| -17.6872 | 1.27 | 140 | -17.6993 |
| -17.7061 | 1.36 | 150 | -17.7169 |
| -17.7227 | 1.45 | 160 | -17.7282 |
| -17.7359 | 1.54 | 170 | -17.7437 |
| -17.751 | 1.63 | 180 | -17.7575 |
| -17.7607 | 1.72 | 190 | -17.7661 |
| -17.7725 | 1.81 | 200 | -17.7749 |
| -17.7774 | 1.9 | 210 | -17.7813 |
| -17.7869 | 1.99 | 220 | -17.7911 |
| -17.798 | 2.08 | 230 | -17.8003 |
| -17.8094 | 2.18 | 240 | -17.8108 |
| -17.8151 | 2.27 | 250 | -17.8191 |
| -17.826 | 2.36 | 260 | -17.8291 |
| -17.8364 | 2.45 | 270 | -17.8346 |
| -17.8373 | 2.54 | 280 | -17.8387 |
| -17.8439 | 2.63 | 290 | -17.8419 |
| -17.8433 | 2.72 | 300 | -17.8437 |
| -17.8438 | 2.81 | 310 | -17.8445 |
| -17.8504 | 2.9 | 320 | -17.8449 |
| -17.8486 | 2.99 | 330 | -17.8450 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.0
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