End of training
Browse files- README.md +4 -3
- config.json +1 -1
- model.safetensors +2 -2
- runs/Nov20_03-14-07_26cd4a53f5b5/events.out.tfevents.1763608469.26cd4a53f5b5.285.0 +3 -0
- tokenizer.json +1 -17
- tokenizer_config.json +0 -8
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 |
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|:-------------:|:-----:|:-----:|:---------------:|
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### Framework versions
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This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4653
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## Model description
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 2
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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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| 1.3678 | 1.0 | 8134 | 1.4974 |
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| 1.1809 | 2.0 | 16268 | 1.4653 |
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### Framework versions
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config.json
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"transformers_version": "4.57.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size":
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}
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"transformers_version": "4.57.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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model.safetensors
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runs/Nov20_03-14-07_26cd4a53f5b5/events.out.tfevents.1763608469.26cd4a53f5b5.285.0
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tokenizer.json
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"normalizer": {
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"normalizer": {
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tokenizer_config.json
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"rstrip": false,
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"clean_up_tokenization_spaces": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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"clean_up_tokenization_spaces": true,
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training_args.bin
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