Model save
Browse files- README.md +60 -0
- model.safetensors +1 -1
- runs/Nov06_10-35-59_0c7385e1ab32/events.out.tfevents.1699271021.0c7385e1ab32.985.1 +3 -0
- runs/Nov06_10-35-59_0c7385e1ab32/events.out.tfevents.1699271122.0c7385e1ab32.985.2 +3 -0
- runs/Nov06_10-35-59_0c7385e1ab32/events.out.tfevents.1699271312.0c7385e1ab32.985.3 +3 -0
- runs/Nov06_10-35-59_0c7385e1ab32/events.out.tfevents.1699271460.0c7385e1ab32.985.4 +3 -0
- runs/Nov06_10-35-59_0c7385e1ab32/events.out.tfevents.1699271758.0c7385e1ab32.985.5 +3 -0
README.md
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---
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base_model: DeepPavlov/rubert-base-cased
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tags:
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- generated_from_trainer
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datasets:
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- sberquad
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model-index:
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- name: rubert-base-cased-finetuned-squad
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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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# rubert-base-cased-finetuned-squad
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This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on the sberquad dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9294
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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: 8
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- eval_batch_size: 8
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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
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 125 | 1.5911 |
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| No log | 2.0 | 250 | 1.8147 |
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| No log | 3.0 | 375 | 1.9294 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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