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--- |
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license: mit |
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base_model: infgrad/stella-base-en-v2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: stella-base-en-v2-finetuned-colet |
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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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# stella-base-en-v2-finetuned-colet |
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This model is a fine-tuned version of [infgrad/stella-base-en-v2](https://huggingface.co/infgrad/stella-base-en-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 7.3027 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 3.0 |
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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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| 8.5596 | 1.0 | 32 | 7.5865 | |
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| 7.4649 | 2.0 | 64 | 7.3027 | |
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| 7.3587 | 3.0 | 96 | 7.3353 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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