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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: O0507TESTV2 |
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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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# O0507TESTV2 |
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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: -8.4955 |
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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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| 0.863 | 0.09 | 10 | -2.3940 | |
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| -3.4568 | 0.18 | 20 | -3.8604 | |
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| -3.8975 | 0.27 | 30 | -3.9271 | |
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| -3.9809 | 0.36 | 40 | -4.0442 | |
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| -4.1019 | 0.45 | 50 | -4.1819 | |
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| -4.2453 | 0.54 | 60 | -4.3517 | |
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| -4.4388 | 0.63 | 70 | -4.5620 | |
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| -4.6598 | 0.73 | 80 | -4.8056 | |
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| -4.9318 | 0.82 | 90 | -5.1072 | |
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| -5.2431 | 0.91 | 100 | -5.4448 | |
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| -5.4952 | 1.0 | 110 | -4.5478 | |
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| -5.5982 | 1.09 | 120 | -5.4325 | |
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| -5.9031 | 1.18 | 130 | -6.2539 | |
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| -6.3415 | 1.27 | 140 | -6.5544 | |
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| -6.5926 | 1.36 | 150 | -6.6084 | |
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| -6.3162 | 1.45 | 160 | -7.0376 | |
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| -6.8327 | 1.54 | 170 | -6.8154 | |
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| -6.9773 | 1.63 | 180 | -7.2898 | |
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| -7.314 | 1.72 | 190 | -7.4747 | |
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| -7.5529 | 1.81 | 200 | -7.6409 | |
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| -7.7215 | 1.9 | 210 | -7.8216 | |
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| -7.851 | 1.99 | 220 | -7.9723 | |
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| -8.0306 | 2.08 | 230 | -8.0959 | |
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| -8.0824 | 2.18 | 240 | -8.1964 | |
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| -8.1233 | 2.27 | 250 | -8.2747 | |
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| -8.2767 | 2.36 | 260 | -8.3412 | |
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| -8.3555 | 2.45 | 270 | -8.3954 | |
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| -8.2976 | 2.54 | 280 | -8.4392 | |
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| -8.4536 | 2.63 | 290 | -8.4655 | |
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| -8.4442 | 2.72 | 300 | -8.4827 | |
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| -8.4231 | 2.81 | 310 | -8.4916 | |
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| -8.4211 | 2.9 | 320 | -8.4945 | |
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| -8.486 | 2.99 | 330 | -8.4955 | |
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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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