| | --- |
| | 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 |
| |
|
