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---
license: apache-2.0
base_model: allenai/OLMo-1B
tags:
- generated_from_trainer
model-index:
- name: O0506TEST2
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. -->
# O0506TEST2
This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: -6.1946
## 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: 100
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5234 | 0.09 | 10 | -1.5732 |
| -1.6148 | 0.18 | 20 | -1.6455 |
| -1.6632 | 0.27 | 30 | -1.6791 |
| -1.7073 | 0.36 | 40 | -1.7412 |
| -1.771 | 0.45 | 50 | -1.8170 |
| -1.8527 | 0.54 | 60 | -1.9152 |
| -1.9647 | 0.63 | 70 | -2.0400 |
| -2.1058 | 0.73 | 80 | -2.1959 |
| -2.2879 | 0.82 | 90 | -2.4163 |
| -2.5127 | 0.91 | 100 | -2.6733 |
| -2.7623 | 1.0 | 110 | -2.9418 |
| 1.9772 | 1.09 | 120 | 3.2375 |
| -0.6558 | 1.18 | 130 | -2.4587 |
| -2.9863 | 1.27 | 140 | -3.3977 |
| -3.5664 | 1.36 | 150 | -3.8086 |
| -3.9393 | 1.45 | 160 | -4.1914 |
| -4.292 | 1.54 | 170 | -4.5058 |
| -4.5875 | 1.63 | 180 | -4.8033 |
| -4.8602 | 1.72 | 190 | -5.0741 |
| -5.1734 | 1.81 | 200 | -5.2974 |
| -5.3674 | 1.9 | 210 | -5.4358 |
| -5.4772 | 1.99 | 220 | -5.6335 |
| -5.7073 | 2.08 | 230 | -5.7721 |
| -5.7794 | 2.18 | 240 | -5.8909 |
| -5.7909 | 2.27 | 250 | -5.9810 |
| -5.9785 | 2.36 | 260 | -6.0502 |
| -6.0635 | 2.45 | 270 | -6.0989 |
| -5.9563 | 2.54 | 280 | -6.1409 |
| -6.1511 | 2.63 | 290 | -6.1660 |
| -6.1327 | 2.72 | 300 | -6.1826 |
| -6.1021 | 2.81 | 310 | -6.1911 |
| -6.0999 | 2.9 | 320 | -6.1941 |
| -6.1908 | 2.99 | 330 | -6.1946 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.0
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