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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: watson-cerebras |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# watson-cerebras |
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This model is a fine-tuned version of [cerebras/Cerebras-GPT-111M](https://huggingface.co./cerebras/Cerebras-GPT-111M) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.4660 |
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- Validation Loss: 5.9842 |
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- Epoch: 9 |
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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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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 1.9574 | 4.6971 | 0 | |
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| 1.4977 | 4.9437 | 1 | |
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| 1.1154 | 5.1888 | 2 | |
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| 0.8291 | 5.4171 | 3 | |
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| 0.6540 | 5.5523 | 4 | |
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| 0.5654 | 5.6664 | 5 | |
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| 0.5230 | 5.7875 | 6 | |
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| 0.4976 | 5.8304 | 7 | |
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| 0.4838 | 5.8645 | 8 | |
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| 0.4660 | 5.9842 | 9 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- TensorFlow 2.12.0 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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