End of training
Browse files- README.md +68 -0
- model.safetensors +1 -1
README.md
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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: 0.2389
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- Accuracy: 0.9
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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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- 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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| 10.7829 | 0.2 | 12 | 2.1746 | 0.26 |
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| 2.282 | 0.4 | 24 | 1.4918 | 0.44 |
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| 1.4675 | 0.6 | 36 | 1.2938 | 0.4 |
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| 1.1909 | 0.8 | 48 | 1.1243 | 0.52 |
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| 0.9884 | 1.0 | 60 | 0.9595 | 0.62 |
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| 0.8292 | 1.2 | 72 | 0.7748 | 0.68 |
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| 0.5574 | 1.4 | 84 | 0.4913 | 0.84 |
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| 0.3673 | 1.6 | 96 | 0.3591 | 0.88 |
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| 0.2768 | 1.8 | 108 | 0.2822 | 0.92 |
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| 0.1779 | 2.0 | 120 | 0.2389 | 0.9 |
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 30525736
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version https://git-lfs.github.com/spec/v1
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size 30525736
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