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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: O0507TESTW2 |
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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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# O0507TESTW2 |
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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: -15.8217 |
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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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| -0.1647 | 0.09 | 10 | -3.1185 | |
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| -4.2812 | 0.18 | 20 | -5.4241 | |
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| -6.9822 | 0.27 | 30 | -9.2575 | |
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| -11.0895 | 0.36 | 40 | -13.0391 | |
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| -13.9419 | 0.45 | 50 | -14.5066 | |
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| -14.9177 | 0.54 | 60 | -15.0055 | |
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| -15.2124 | 0.63 | 70 | -15.2714 | |
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| -15.4062 | 0.73 | 80 | -15.5051 | |
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| -15.5194 | 0.82 | 90 | -15.5283 | |
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| -6.9681 | 0.91 | 100 | -3.6542 | |
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| -6.2069 | 1.0 | 110 | -13.6707 | |
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| -14.5293 | 1.09 | 120 | -15.4137 | |
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| -15.5064 | 1.18 | 130 | -15.5754 | |
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| -15.6102 | 1.27 | 140 | -15.6458 | |
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| -15.6795 | 1.36 | 150 | -15.7236 | |
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| -15.7487 | 1.45 | 160 | -15.7689 | |
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| -15.7781 | 1.54 | 170 | -15.7856 | |
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| -15.786 | 1.63 | 180 | -15.7905 | |
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| -15.7915 | 1.72 | 190 | -15.7937 | |
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| -15.8052 | 1.81 | 200 | -15.7934 | |
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| -15.8 | 1.9 | 210 | -15.7950 | |
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| -15.796 | 1.99 | 220 | -15.7954 | |
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| -15.8014 | 2.08 | 230 | -15.7982 | |
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| -15.7996 | 2.18 | 240 | -15.8007 | |
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| -15.8055 | 2.27 | 250 | -15.8022 | |
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| -15.8089 | 2.36 | 260 | -15.8037 | |
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| -15.8139 | 2.45 | 270 | -15.8082 | |
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| -15.8142 | 2.54 | 280 | -15.8109 | |
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| -15.821 | 2.63 | 290 | -15.8151 | |
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| -15.8227 | 2.72 | 300 | -15.8183 | |
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| -15.8206 | 2.81 | 310 | -15.8206 | |
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| -15.8252 | 2.9 | 320 | -15.8216 | |
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| -15.8238 | 2.99 | 330 | -15.8217 | |
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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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