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README.md
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# sentiment-guesser
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This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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Training was done on a sampled set of 1,000 examples. The eval set is also 1,000 examples. Only 1 epoch was completed to make this example easy to run on a CPU powered colab.
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### Training hyperparameters
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The following hyperparameters were used during training:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step
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### Framework versions
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# sentiment-guesser
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This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3734
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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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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 0.2921 | 1.0 | 3125 | 0.2793 |
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| 0.2303 | 2.0 | 6250 | 0.2741 |
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| 0.1488 | 3.0 | 9375 | 0.3239 |
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| 0.0802 | 4.0 | 12500 | 0.3506 |
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| 0.0494 | 5.0 | 15625 | 0.3734 |
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### Framework versions
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model.safetensors
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training_args.bin
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