| | --- |
| | license: apache-2.0 |
| | base_model: allenai/OLMo-1B |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: O0507TESTW4 |
| | 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. --> |
| |
|
| | # O0507TESTW4 |
| |
|
| | 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: -15.8407 |
| |
|
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.0441 | 0.09 | 10 | -3.1083 | |
| | | -5.0046 | 0.18 | 20 | -6.0412 | |
| | | -6.8874 | 0.27 | 30 | -8.0540 | |
| | | -9.0261 | 0.36 | 40 | -9.9891 | |
| | | -10.9861 | 0.45 | 50 | -12.1696 | |
| | | -12.9302 | 0.54 | 60 | -13.9751 | |
| | | -13.3926 | 0.63 | 70 | -13.2579 | |
| | | -13.6313 | 0.73 | 80 | -13.9466 | |
| | | -14.0192 | 0.82 | 90 | -13.9525 | |
| | | -13.7502 | 0.91 | 100 | 1.1641 | |
| | | -4.3114 | 1.0 | 110 | -7.6709 | |
| | | -10.5181 | 1.09 | 120 | -12.7705 | |
| | | -13.6347 | 1.18 | 130 | -14.6031 | |
| | | -14.8384 | 1.27 | 140 | -15.1801 | |
| | | -15.3669 | 1.36 | 150 | -15.4784 | |
| | | -15.5216 | 1.45 | 160 | -15.5379 | |
| | | -15.6124 | 1.54 | 170 | -15.6557 | |
| | | -15.6801 | 1.63 | 180 | -15.6797 | |
| | | -15.6673 | 1.72 | 190 | -15.7361 | |
| | | -15.7512 | 1.81 | 200 | -15.3992 | |
| | | -15.6977 | 1.9 | 210 | -15.7783 | |
| | | -15.78 | 1.99 | 220 | -15.7801 | |
| | | -15.7913 | 2.08 | 230 | -15.7800 | |
| | | -15.8022 | 2.18 | 240 | -15.8138 | |
| | | -15.8227 | 2.27 | 250 | -15.8210 | |
| | | -15.8309 | 2.36 | 260 | -15.8280 | |
| | | -15.8353 | 2.45 | 270 | -15.8329 | |
| | | -15.8357 | 2.54 | 280 | -15.8364 | |
| | | -15.8412 | 2.63 | 290 | -15.8371 | |
| | | -15.8415 | 2.72 | 300 | -15.8402 | |
| | | -15.8438 | 2.81 | 310 | -15.8415 | |
| | | -15.846 | 2.9 | 320 | -15.8407 | |
| | | -15.8458 | 2.99 | 330 | -15.8407 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.36.0.dev0 |
| | - Pytorch 2.1.2+cu121 |
| | - Datasets 2.14.6 |
| | - Tokenizers 0.14.0 |
| |
|
