End of training
Browse files- README.md +58 -0
- logs/events.out.tfevents.1690882310.d4cb98944bc9.28.0 +2 -2
- merges.txt +0 -0
- pytorch_model.bin +1 -1
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +65 -0
- vocab.json +0 -0
README.md
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---
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license: mit
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---
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---
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- imdb_urdu_reviews
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model-index:
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- name: UrduClassification
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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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# UrduClassification
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This model is a fine-tuned version of [urduhack/roberta-urdu-small](https://huggingface.co/urduhack/roberta-urdu-small) on the imdb_urdu_reviews dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4703
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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: 5e-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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- lr_scheduler_warmup_steps: 500
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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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| 0.4078 | 1.0 | 2500 | 0.3954 |
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| 0.2633 | 2.0 | 5000 | 0.4007 |
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| 0.1205 | 3.0 | 7500 | 0.4703 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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logs/events.out.tfevents.1690882310.d4cb98944bc9.28.0
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merges.txt
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pytorch_model.bin
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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vocab.json
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