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--- |
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base_model: eleutherai/pythia-14m |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: goal-encoder-exp |
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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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# goal-encoder-exp |
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This model is a fine-tuned version of [eleutherai/pythia-14m](https://huggingface.co/eleutherai/pythia-14m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1952 |
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- Accuracy: 0.96 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 8.0333 | 0.2 | 12 | 1.4882 | 0.42 | |
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| 1.5582 | 0.4 | 24 | 1.6071 | 0.36 | |
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| 1.4462 | 0.6 | 36 | 1.1355 | 0.54 | |
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| 1.2173 | 0.8 | 48 | 0.9234 | 0.62 | |
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| 0.9213 | 1.0 | 60 | 0.9122 | 0.54 | |
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| 0.7752 | 1.2 | 72 | 0.5608 | 0.88 | |
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| 0.5467 | 1.4 | 84 | 0.4030 | 0.92 | |
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| 0.3867 | 1.6 | 96 | 0.2786 | 0.94 | |
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| 0.27 | 1.8 | 108 | 0.2165 | 0.96 | |
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| 0.1646 | 2.0 | 120 | 0.1952 | 0.96 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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