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---
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514HMA20H
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. -->
# G0514HMA20H
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: -17.8888
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7427 | 0.09 | 10 | -0.3960 |
| -1.7071 | 0.18 | 20 | -3.6281 |
| -5.2642 | 0.27 | 30 | -7.4868 |
| -9.0314 | 0.36 | 40 | -11.0106 |
| -12.2572 | 0.45 | 50 | -13.9498 |
| -14.8718 | 0.54 | 60 | -15.9757 |
| -16.4839 | 0.63 | 70 | -16.9719 |
| -17.1594 | 0.73 | 80 | -17.3585 |
| -17.4323 | 0.82 | 90 | -17.5206 |
| -17.5617 | 0.91 | 100 | -17.6042 |
| -17.6212 | 1.0 | 110 | -17.6490 |
| -17.6671 | 1.09 | 120 | -17.6807 |
| -17.6884 | 1.18 | 130 | -17.6997 |
| -17.7069 | 1.27 | 140 | -17.7167 |
| -17.7212 | 1.36 | 150 | -17.7313 |
| -17.7366 | 1.45 | 160 | -17.7408 |
| -17.7489 | 1.54 | 170 | -17.7577 |
| -17.7679 | 1.63 | 180 | -17.7766 |
| -17.7836 | 1.72 | 190 | -17.7952 |
| -17.8096 | 1.81 | 200 | -17.8171 |
| -17.8256 | 1.9 | 210 | -17.8360 |
| -17.844 | 1.99 | 220 | -17.8501 |
| -17.8551 | 2.08 | 230 | -17.8607 |
| -17.8656 | 2.18 | 240 | -17.8707 |
| -17.8732 | 2.27 | 250 | -17.8780 |
| -17.8763 | 2.36 | 260 | -17.8821 |
| -17.8785 | 2.45 | 270 | -17.8839 |
| -17.8842 | 2.54 | 280 | -17.8864 |
| -17.8859 | 2.63 | 290 | -17.8876 |
| -17.8859 | 2.72 | 300 | -17.8882 |
| -17.8836 | 2.81 | 310 | -17.8885 |
| -17.8875 | 2.9 | 320 | -17.8888 |
| -17.8874 | 2.99 | 330 | -17.8888 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.0
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