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--- |
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license: apache-2.0 |
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base_model: allenai/OLMo-1B |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: O0506TEST |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# O0506TEST |
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This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: -47.2856 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| -11.8749 | 0.09 | 10 | -14.0218 | |
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| -14.1305 | 0.18 | 20 | -14.2468 | |
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| -14.3704 | 0.27 | 30 | -14.5481 | |
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| -14.7299 | 0.36 | 40 | -14.9938 | |
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| -15.2303 | 0.45 | 50 | -15.5855 | |
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| -15.8744 | 0.54 | 60 | -16.3445 | |
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| -16.7251 | 0.63 | 70 | -17.2990 | |
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| -17.7631 | 0.73 | 80 | -18.4397 | |
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| -19.0466 | 0.82 | 90 | -19.9335 | |
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| -20.6521 | 0.91 | 100 | -21.7543 | |
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| -22.5524 | 1.0 | 110 | -23.8121 | |
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| -24.7052 | 1.09 | 120 | -26.0076 | |
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| -26.5875 | 1.18 | 130 | -28.2672 | |
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| -28.9769 | 1.27 | 140 | -30.5118 | |
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| -31.3719 | 1.36 | 150 | -32.7197 | |
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| -33.203 | 1.45 | 160 | -34.8411 | |
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| -35.4209 | 1.54 | 170 | -36.8347 | |
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| -37.2307 | 1.63 | 180 | -38.6589 | |
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| -38.8488 | 1.72 | 190 | -37.7034 | |
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| -40.0554 | 1.81 | 200 | -41.4002 | |
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| -41.1722 | 1.9 | 210 | -42.2517 | |
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| -42.2511 | 1.99 | 220 | -43.2108 | |
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| -43.6435 | 2.08 | 230 | -44.1210 | |
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| -44.0969 | 2.18 | 240 | -44.9382 | |
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| -44.1582 | 2.27 | 250 | -45.6027 | |
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| -45.5951 | 2.36 | 260 | -46.1312 | |
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| -46.2215 | 2.45 | 270 | -46.5436 | |
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| -45.4689 | 2.54 | 280 | -46.8401 | |
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| -46.9295 | 2.63 | 290 | -47.0472 | |
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| -46.8051 | 2.72 | 300 | -47.1790 | |
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| -46.5686 | 2.81 | 310 | -47.2487 | |
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| -46.5529 | 2.9 | 320 | -47.2782 | |
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| -47.2225 | 2.99 | 330 | -47.2856 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.0 |
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