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license: apache-2.0
base_model: allenai/OLMo-1B
tags:
- generated_from_trainer
model-index:
- name: O0506TEST3
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. -->
# O0506TEST3
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: -4.4239
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1005 | 0.09 | 10 | -1.5637 |
| -1.7829 | 0.18 | 20 | -1.8563 |
| -1.8732 | 0.27 | 30 | -1.8844 |
| -1.9118 | 0.36 | 40 | -1.9458 |
| -1.9739 | 0.45 | 50 | -2.0139 |
| -2.0453 | 0.54 | 60 | -2.1005 |
| -2.1436 | 0.63 | 70 | -2.2061 |
| -2.2555 | 0.73 | 80 | -2.3258 |
| -2.4047 | 0.82 | 90 | -2.5182 |
| -2.5613 | 0.91 | 100 | -2.6960 |
| -2.7428 | 1.0 | 110 | -2.8828 |
| -2.4287 | 1.09 | 120 | -3.0421 |
| -2.9323 | 1.18 | 130 | -3.1984 |
| -2.9297 | 1.27 | 140 | -3.1196 |
| -2.9262 | 1.36 | 150 | 1.6830 |
| -1.7801 | 1.45 | 160 | -1.1498 |
| -2.8852 | 1.54 | 170 | -3.4537 |
| -3.2749 | 1.63 | 180 | -3.6075 |
| -3.6454 | 1.72 | 190 | -3.7508 |
| -3.813 | 1.81 | 200 | -3.8830 |
| -3.9317 | 1.9 | 210 | -3.9917 |
| -4.0157 | 1.99 | 220 | -4.0920 |
| -4.1285 | 2.08 | 230 | -4.1672 |
| -4.1735 | 2.18 | 240 | -4.2356 |
| -4.1966 | 2.27 | 250 | -4.2894 |
| -4.2903 | 2.36 | 260 | -4.3295 |
| -4.3409 | 2.45 | 270 | -4.3633 |
| -4.3074 | 2.54 | 280 | -4.3890 |
| -4.3943 | 2.63 | 290 | -4.4015 |
| -4.3886 | 2.72 | 300 | -4.4165 |
| -4.3791 | 2.81 | 310 | -4.4221 |
| -4.3777 | 2.9 | 320 | -4.4237 |
| -4.4116 | 2.99 | 330 | -4.4239 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.0
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